{"id":357,"date":"2025-12-19T16:52:52","date_gmt":"2025-12-20T00:52:52","guid":{"rendered":"https:\/\/labs.wsu.edu\/caire\/?page_id=357"},"modified":"2026-01-16T23:42:49","modified_gmt":"2026-01-17T07:42:49","slug":"conference-presentations","status":"publish","type":"page","link":"https:\/\/labs.wsu.edu\/caire\/conference-presentations\/","title":{"rendered":"Conference Presentations"},"content":{"rendered":"\n

2026<\/h2>\n\n\n\n
    \n
  1. Eidin, E., He, P.<\/strong>, & Li, T.<\/strong> (March 2026). Preservice science teachers\u2019 use of AI for NGSS teaching and 3D learning.<\/em> Paper proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  2. Fiser, T.<\/strong>, He, P.<\/strong>, Wang, Z.<\/strong>, Xue, Y.<\/strong>, Shin, N., & Krajcik, J. (March 2026). Teachers\u2019 use of 3D learning progressions to adapt local instructional materials: A multiple case study.<\/em> Paper proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  3. He, C.-W., He, P.<\/strong>, Li, T.<\/strong>, Fiorella, L., & Lemons, P. (March 2026). Automated scoring of constructed responses: BERT performance on near- and far-transfer biochemistry problems.<\/em> Paper submitted to the Annual Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  4. He, P.<\/strong> (March 2026). Learning progressions and GenAI for supporting teacher instructional adaptations and student three-dimensional learning.<\/em> Symposium proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  5. He, P.<\/strong>, Yang, K., Liu, H.<\/strong>, Li, H., Chu, Y., Tang, J., & Li, T.<\/strong> (March 2026). Leveraging GenAI to generate actionable feedback on student 3D learning: A human-centered design approach.<\/em> Paper proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  6. He, P.<\/strong>, Xue, Y.<\/strong>, Shin, N., Dai, S., & Krajcik, J. (April 2026). Leveraging learning progressions to support teacher adaptation and student 3D learning: A two-year case study.<\/em> Proposal submitted to the Annual Meeting of the American Educational Research Association (AERA), Los Angeles, CA.<\/li>\n\n\n\n
  7. Jin, G., Li, T.<\/strong>, Lee, H. J., Xue, Y.<\/strong>, He, P.<\/strong>, Adesope, O. O., Dydasco, C. G., Sunday, O. J., & Nishida, K. (April 2026). Using large language models to analyze chemistry undergraduate students\u2019 self-constructed concept maps.<\/em> Proposal submitted to the Annual Meeting of the American Educational Research Association (AERA), Los Angeles, CA.<\/li>\n\n\n\n
  8. Kaldaras, L., Carlson, C., Tang, W., Li, T.<\/strong>, Djaba, P., Krajcik, J., & Haudek, K. (April 2026). Learning progression-guided AI evaluation to support feedback on multimodal scientific modeling tasks.<\/em> Paper submitted to the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n\n\n\n
  9. Li, T.<\/strong>, Adah Miller, E., He, P.<\/strong>, Reigh, E., He, X., & Amerman, H. (March 2026). When and how AI use aligns with practice-based and equity-oriented science learning: A vignette-based conceptual analysis.<\/em> Paper proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  10. Liu, H.<\/strong>, Hu, J., He, P.<\/strong>, & Wang, L. (March 2026). Analyzing core idea\u2013practice integration in Chinese high school chemistry classrooms through chemical thinking perspectives.<\/em> Paper proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n\n\n\n
  11. Wang, Z.<\/strong>, He, P.<\/strong>, Fiser, T.<\/strong>, Xue, Y.<\/strong>, Shin, N., & Krajcik, J. (March 2026). Teachers\u2019 use of 3D learning progressions to adapt local instructional materials: A multiple case study.<\/em> Paper proposal submitted to the 99th Annual International Conference of the National Association for Research in Science Teaching (NARST), Seattle, WA.<\/li>\n<\/ol>\n\n\n\n

    2025<\/h2>\n\n\n\n
      \n
    1. Bowers, J., & He, P.<\/strong> (2025). Teacher use of 3D assessments to assess student learning and provide feedback.<\/em> Paper proposal submitted to the 98th Annual International Conference of the National Association for Research in Science Teaching (NARST), National Harbor, MD.<\/li>\n\n\n\n
    2. He, P.<\/strong> (2025). Generating learning progression\u2013based actionable feedback to support students\u2019 three-dimensional learning: A large language model approach.<\/em> Paper proposal submitted to the 98th Annual International Conference of the National Association for Research in Science Teaching (NARST), National Harbor, MD.<\/li>\n\n\n\n
    3. He, P.<\/strong>, & Krajcik, J. (2025). Empowering project-based learning with AI to foster knowledge-in-use.<\/em> Invited keynote presentation by the SIG of Problem-Based Learning & Project-Based Learning at the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n\n\n\n
    4. He, P.<\/strong>, & Li, T.<\/strong> (2025). Designing 3D assessments with generative AI: A hands-on workshop for elementary and middle school educators.<\/em> Four-hour workshop accepted by the Washington Science Teacher Association (WSTA), Tacoma, WA.<\/li>\n\n\n\n
    5. He, P.<\/strong>, Haudek, K., Krajcik, J., & Morell, L. (2025, June). Developing and using learning progressions to support usable knowledge.<\/em> Session presentation at the CADRE Principal Investigators Meeting, Washington, DC.<\/li>\n\n\n\n
    6. He, P.<\/strong>, Shin, N., Krajcik, J., & Xue, Y.<\/strong> (2025, June). Developing and testing a learning progression for middle school physical science incorporating disciplinary core ideas, science and engineering practices, and crosscutting concepts.<\/em> Poster presentation at the CADRE Principal Investigators Meeting, Washington, DC.<\/li>\n\n\n\n
    7. He, P.<\/strong>, Xue, Y.,<\/strong> & Liu, F. (2025). Using large language models to analyze students\u2019 hands-on responses and support teachers\u2019 timely instructional decisions.<\/em> Paper proposal submitted to the 98th Annual International Conference of the National Association for Research in Science Teaching (NARST), National Harbor, MD.<\/li>\n\n\n\n
    8. Huang, M., Wang, L., He, P.<\/strong>, & Wang, W. (2025). Designing solutions in middle school science: A multi-case study of the \u201cDesign and Construction of the Space Station Atmospheric Revitalization Subsystem\u201d project.<\/em> Paper proposal submitted to the Global Chinese Academy for Science Education Research Conference, Hong Kong, China.<\/li>\n\n\n\n
    9. Kaldaras, L., Li, T.<\/strong>, Haudek, K., & Krajcik, J. (2025). Learning progression-guided AI evaluation of scientific models integrating writing and drawing to support multimodal knowledge-in-use.<\/em> Paper accepted by the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n\n\n\n
    10. Lahiri, S., Tran, H., He, X., Adah Miller, E., Huang, Y., DeLuca, J., Hamel, E., Li, T.<\/strong>, He, P.<\/strong>, Luft, J., Oni, K., & Sharma, A. (2025). Using storytelling for climate justice: Recounting climate experiences in elementary classrooms.<\/em> Paper accepted by the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n\n\n\n
    11. Li, T.<\/strong> (2025). AI and educational justice: A critical conversation.<\/em> Paper accepted as part of a presidential session of the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n\n\n\n
    12. Li, T.<\/strong> (2025). Cognitive synergy of human intelligence and artificial intelligence in designing equitable science assessments.<\/em> Paper accepted by the Annual Conference of the National Association for Research in Science Teaching (NARST).<\/li>\n\n\n\n
    13. Li, T.<\/strong> (2025). The transformative collaboration of human intelligence and artificial intelligence in designing equitable next generation science assessments.<\/em> Paper accepted by the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n\n\n\n
    14. Li, T.<\/strong>, Kaldaras, L., Haudek, K., & Krajcik, J. (2025). Feedback on utilizing deep learning AI to analyze scientific models.<\/em> Paper accepted by the Annual Conference of the National Association for Research in Science Teaching (NARST).<\/li>\n\n\n\n
    15. Li, T.<\/strong>, Krajcik, J., & Akgun, S. (2025). Designing 3D assessments with generative AI: A hands-on workshop for elementary and middle school educators.<\/em> Full-day workshop accepted by the National Science Teachers Association (NSTA) Professional Learning Institute, Minneapolis, MN.<\/li>\n\n\n\n
    16. Liu, C., Liu, R., Zhang, J., & He, P.<\/strong> (2025). Acquisition and retention of nature of science understandings: A five-year longitudinal study with elementary students.<\/em> Paper proposal submitted to the Global Chinese Academy for Science Education Research Conference, Hong Kong, China.<\/li>\n\n\n\n
    17. Tran, H., DeLuca, J., Lahiri, S., Adah Miller, E., Sharma, A., Hamel, E., He, P.<\/strong>, Huang, Y., Li, T.<\/strong>, & Luft, J. (2025). Elementary climate education: A framework for including climate justice in climate emergency lessons.<\/em> Presentation at the Annual International Conference of the National Association for Research in Science Teaching (NARST), Washington, DC.<\/li>\n\n\n\n
    18. Tran, H., Lahiri, S., He, X., Adah Miller, E., DeLuca, J., Hamel, E., He, P.<\/strong>, & Huang, Y. (2025). \u201cThe hurricane was gritando\u201d: Leveraging elementary students\u2019 climate change experiences through storytelling toward an approach to climate justice.<\/em> Paper accepted by the Annual Conference of the Association for Science Teacher Education, Long Beach, CA.<\/li>\n\n\n\n
    19. Zang, L., & Li, T.<\/strong> (2025). Integrating generative artificial intelligence to enhance critical multilingual awareness in world language teacher preparation.<\/em> Paper accepted by the Annual Meeting of the American Educational Research Association (AERA).<\/li>\n<\/ol>\n\n\n\n

      2024<\/h2>\n\n\n\n
        \n
      1. Adah Miller, E., & Li, T.<\/strong> (April 2024). Elementary students\u2019 production and use of epistemic diversity in the context of disciplinary science engagement.<\/em> Paper submitted to the Annual Meeting of the American Educational Research Association (AERA), Philadelphia, PA.<\/li>\n\n\n\n
      2. He, P.<\/strong>, Chu, Y., Yang, K., Shin, N., Tang, J., & Krajcik, J. (May 2024). Using generative AI to automatically identify students\u2019 three-dimensional understanding in learning progression-based assessments.<\/em> Poster presented at the CREATE for STEM Mini-Conference, East Lansing, MI.<\/li>\n\n\n\n
      3. He, P.<\/strong>, Shin, N., & Krajcik, J. (March 2024). Developing three-dimensional learning progressions of energy, interaction, and matter at the middle school level: Design-based research.<\/em> Paper proposal submitted to the 97th Annual International Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      4. He, P.<\/strong>, Shin, N., & Krajcik, J. (March 2024). Using generative AI to automatically identify students\u2019 three-dimensional understanding in an NGSS-aligned learning progression.<\/em> Paper proposal submitted to the 97th Annual International Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      5. He, P.<\/strong>, Shin, N., Zeng, M., Nilsen, K., McKinney, D., Harris, C., He, X., Zhai, X., & Krajcik, J. (April 2024). Integrating instructional strategies with automatic information of students\u2019 assessment performance to support teachers\u2019 timely instructional decisions.<\/em> Paper submitted to the Annual Meeting of the American Educational Research Association (AERA), Philadelphia, PA.<\/li>\n\n\n\n
      6. He, P.<\/strong>, Shin, N., Kaldaras, L., & Krajcik, J. (April 2024). Integrating artificial intelligence into learning progressions to support student knowledge-in-use: Opportunities and challenges.<\/em> Paper proposal submitted to the Annual Meeting of the American Educational Research Association (AERA), Philadelphia, PA.<\/li>\n\n\n\n
      7. He, X., Zhai, X., He, P.<\/strong>, & Latif, E. (March 2024). Improving machine scoring performance with unbalanced training datasets.<\/em> Paper proposal submitted to the 97th Annual International Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      8. Huang, M., He, P.<\/strong>, Zeng, M., Shin, N., Bowers, J., & Krajcik, J. (March 2024). Developing a three-dimensional learning progression for matter and its interactions at the middle school level.<\/em> Paper proposal submitted to the 97th Annual International Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      9. Kaldaras, L., Li, T.<\/strong>, Haudek, K., & Krajcik, J. (March 2024). Rubric development for AI scoring of NGSS learning progression-based scientific models to support individual opportunity to learn.<\/em> Paper submitted to the Annual Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      10. Kaldaras, L., Li, T.<\/strong>, Haudek, K., & Krajcik, J. (April 2024). NGSS learning progression\u2013based scoring of scientific models.<\/em> Paper presented at the Annual Meeting of the American Educational Research Association (AERA), Philadelphia, PA.<\/li>\n\n\n\n
      11. Li, T.<\/strong>, Kaldaras, L., Haudek, K., & Krajcik, J. (March 2024). Utilizing deep learning AI to evaluate scientific models: Overcoming the challenges.<\/em> Paper presented at the Annual Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      12. Li, T.<\/strong>, Kaldaras, L., Haudek, K., & Krajcik, J. (April 2024). Using AI to evaluate multimodal formative assessments in physical science.<\/em> Paper presented at the Annual Meeting of the American Educational Research Association (AERA), Philadelphia, PA.<\/li>\n\n\n\n
      13. Morales, C., Lee, J., Eidin, E., He, P.<\/strong>, & Bayer, I. (March 2024). Measuring students\u2019 three-dimensional learning and transfer using NGSS-designed life science assessments.<\/em> Paper proposal submitted to the 97th Annual International Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n\n\n\n
      14. Shin, N., Nilsen, K., He, P.<\/strong>, He, X., & Krajcik, J. (April 2024). Supporting teachers\u2019 timely instructional decisions using artificial intelligence\u2013assisted information to promote student science learning.<\/em> Paper submitted to the Annual Meeting of the American Educational Research Association (AERA), Philadelphia, PA.<\/li>\n\n\n\n
      15. Zeng, M., He, P.<\/strong>, Huang, M., Shin, N., Bowers, J., & Krajcik, J. (March 2024). Developing a three-dimensional learning progression for thermal energy at the middle school level.<\/em> Paper proposal submitted to the 97th Annual International Conference of the National Association for Research in Science Teaching (NARST), Denver, CO.<\/li>\n<\/ol>\n\n\n\n

        2023<\/h2>\n\n\n\n
          \n
        1. Adah Miller, E., Li, T.<\/strong>, & Codere, S. (April 2023). Empowering teachers as architects of equity and social justice\u2013oriented environments through adaptation design.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        2. Amerman, H., Zhai, X., Latif, E., He, P.<\/strong>, & Krajcik, J. (April 2023). Does transformer deep learning yield more accurate scores on written explanations than traditional machine learning?<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        3. Chen, I., Li, T.<\/strong>, & Akgun, S. (April 2023). Can we narrow the achievement gap in elementary science classrooms? Exploring the ESES program.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        4. Chen, I., Li, T.<\/strong>, & Akgun, S. (April 2023). Promoting science achievement with students from diverse socio-economic, gender, race, and language backgrounds post-COVID-19.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        5. Haudek, K. C., Krajcik, J., Li, T.<\/strong>, & Kaldaras, L. (May 2023). Evaluating effects of student automatic feedback aligned to a three-dimensional learning progression to promote knowledge-in-use.<\/em> Paper presented at the CREATE for STEM Conference, Michigan State University, East Lansing, MI.<\/li>\n\n\n\n
        6. He, P.<\/strong>, Li, T.<\/strong>, & Ma, W. (April 2023). Applying cognitive diagnostic assessment to unpack high school students\u2019 knowledge-in-use in science education.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        7. He, P.<\/strong>, Shin, N., Amerman, H., Zhai, X., & Krajcik, J. (April 2023). Designing and applying scoring rubrics for automatically scored knowledge-in-use assessment tasks for instructional decisions.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        8. He, P.<\/strong>, Shin, N., Huang, M., Zeng, M., Bowers, J., & Krajcik, J. (June 2023). Developing and testing a learning progression for middle school physical science incorporating disciplinary core ideas, science and engineering practices, and crosscutting concepts.<\/em> Poster presentation at the 2023 CADRE PI Meeting, Washington, DC.<\/li>\n\n\n\n
        9. He, P.<\/strong>, Shin, N., Nilsen, K., Amerman, H., & Krajcik, J. (April 2023). Developing three-dimensional instructional strategies based on students\u2019 performance on classroom assessments.<\/em> Paper presented at the 2023 Annual Conference of the National Association for Research in Science Teaching (NARST), Chicago, IL.<\/li>\n\n\n\n
        10. He, P.<\/strong>, Shin, N., Zhai, X., & Krajcik, J. (April 2023). Guiding teacher use of artificial intelligence-based classroom assessment to improve instructional decisions: A conceptual framework.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        11. Krajcik, J., He, P.<\/strong>, Shin, N., & Zhai, X. (August 2023). Using artificial intelligence to support teachers\u2019 use of instructional supports to improve students\u2019 usable knowledge: A conceptual framework.<\/em> Paper presented at the 2023 Annual Conference of the European Science Education Research Association, Cappadocia, Turkey.<\/li>\n\n\n\n
        12. Li, T.<\/strong>, & Krajcik, J. (May 2023). Automatically assessing elementary students\u2019 hand-drawn scientific models using artificial intelligence.<\/em> Paper presented at the CREATE for STEM Conference, Michigan State University, East Lansing, MI.<\/li>\n\n\n\n
        13. Li, T.<\/strong>, Chen, I., & Bartz, K. (April 2023). Teacher instructional supports and elementary student science learning and social-emotional learning after the COVID-19 pandemic.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        14. Li, T.<\/strong>, Liu, F., & Krajcik, J. (April 2023). Automatically assessing elementary students\u2019 hand-drawn scientific models using machine learning: Is it possible?<\/em> Paper presented at the 2023 Annual Conference of the National Association for Research in Science Teaching (NARST), Chicago, IL.<\/li>\n\n\n\n
        15. Li, T.<\/strong>, Schmidt, J., & Krajcik, J. (April 2023). Exploring interactions between elementary students\u2019 situational engagement and teacher instructional supports over time.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        16. Shin, N., He, P.<\/strong>, Nilsen, K., Amerman, H., Krajcik, J., & Zhai, X. (April 2023). Design model for pedagogical content knowledge supports based on AI-automated scores.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        17. Wang, X., Li, T<\/strong>., He, P.<\/strong>, & Krajcik, J. (April 2023). Investigating a learning progression for particle nature of matter from upper elementary through high school.<\/em> Paper presented at the 2023 Annual Conference of the National Association for Research in Science Teaching (NARST), Chicago, IL.<\/li>\n\n\n\n
        18. Zhai, X., He, X., Latif, E., He, P.<\/strong>, Krajcik, J., Yin, Y., Harris, C., & Weiser, G. (April 2023). Teacher interpretation of AI-augmented assessment reports.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n\n\n\n
        19. Zhang, Y., He, P.<\/strong>, & Li, T.<\/strong> (April 2023). Diagnosing middle school students\u2019 scientific modeling: A cognitive diagnostic modeling approach.<\/em> Paper presented at the 2023 Annual Conference of the National Association of Research in Science Teaching (NARST), Chicago, IL.<\/li>\n\n\n\n
        20. Zhang, Y., Li, T.<\/strong>, & He, P.<\/strong> (April 2023). Applying cognitive diagnosis models to assess middle school students\u2019 scientific explanations.<\/em> Paper presented at the 2023 Annual Meeting of the American Educational Research Association (AERA), Chicago, IL.<\/li>\n<\/ol>\n\n\n\n

          2022<\/h2>\n\n\n\n
            \n
          1. Akgun, S., Chen, I., Li, T.<\/strong>, Miller, E., Codere, S., & Krajcik, J. (March 2022). Using ML-PBL teaching practices to support student sensemaking and social-emotional learning in elementary science classrooms.<\/em> Paper presented at the 2022 Annual Conference of the National Association for Research in Science Teaching (NARST), Vancouver, British Columbia.<\/li>\n\n\n\n
          2. Chen, I., Li, T.<\/strong>, Akgun, S., Schnider, B., & Krajcik, J. (March 2022). Curriculum-aligned instruction and formative assessments: Promote students\u2019 academic and social-emotional learning.<\/em> Paper presented at the 2022 Annual Conference of the National Association for Research in Science Teaching (NARST), Vancouver, British Columbia.<\/li>\n\n\n\n
          3. He, P.<\/strong>, Chen, I., & Krajcik, J. (April 2022). Three-dimensional learning progression for supporting students\u2019 knowledge-in-use proficiency in high school project-based learning chemistry curriculum.<\/em> Paper presented at the 2022 Annual Conference of the National Association for Research in Science Teaching (NARST), Vancouver, British Columbia.<\/li>\n\n\n\n
          4. He, P.<\/strong>, Shin, N., Zhai, X., & Krajcik, J. (May 2022). Guiding teacher use of artificial intelligence-based knowledge-in-use assessment to improve instructional decisions: A conceptual framework.<\/em> Presentation at the International Conference for AI-Based Assessments in STEM Education, Athens, Georgia.<\/li>\n\n\n\n
          5. Li, T.<\/strong> (March 2022). Developing deep learning through systems thinking.<\/em> Paper presented at the 2022 Annual Conference of the National Association for Research in Science Teaching (NARST), Vancouver, British Columbia.<\/li>\n\n\n\n
          6. Li, T.<\/strong> (March 2022). Employing adaptation design principles to enhance elementary student engagement in modeling.<\/em> Paper presented at the 2022 Annual Conference of the National Association for Research in Science Teaching (NARST), Vancouver, British Columbia.<\/li>\n\n\n\n
          7. Li, T.<\/strong>, Chen, I., & Krajcik, J. (April 2022). Teacher enactment of NGSS-aligned curriculum, student science achievement in knowledge-in-use, and social and emotional learning.<\/em> Paper presented at the 2022 Annual Meeting of the American Educational Research Association (AERA), San Diego, CA.<\/li>\n\n\n\n
          8. Miller, E., Li, T.<\/strong>, Bateman, K., Akgun, S., Makori, H., Codere, S., Danziger, S., Simani, M. C., & Krajcik, J. (November 2022). Adaptation principles to foster engagement and equity in project-based science learning.<\/em> Paper presented at the 2022 Annual Meeting of the International Society of the Learning Sciences (ISLS), Virtual Conference.<\/li>\n<\/ol>\n\n\n\n

            2021<\/h2>\n\n\n\n
              \n
            1. Chen, I., Miller, C., Li, T.<\/strong>, Bartz, K., Schneider, B., & Krajcik, J. (April 2021). How teacher practices influence elementary students\u2019 social emotional learning.<\/em> Paper presented at the 2021 Annual Conference of the National Association for Research in Science Teaching (NARST), Virtual Conference.<\/li>\n\n\n\n
            2. He, P.<\/strong>, Chen, I., Touitou, I., Maestral, S., & Krajcik, J. (April 2021). Tracking the progress of high school students\u2019 modeling proficiencies across sequential project-based learning chemistry curriculum: A longitudinal study.<\/em> Paper presented at the 2021 Annual Conference of the National Association for Research in Science Teaching (NARST), Virtual Conference.<\/li>\n\n\n\n
            3. Li, T. <\/strong>(April 2021). Developing student learning through project-based learning.<\/em> Paper presented at the 2021 Annual Meeting of the American Educational Research Association (AERA), Virtual Conference.<\/li>\n\n\n\n
            4. Li, T.<\/strong>, Chen, I., Miller, E., Bartz, K., Krajcik, J., & Schneider, B. (April 2021). Employing NGSS-aligned three-dimensional unit assessments to predict student science achievement in elementary project-based learning classrooms.<\/em> Paper presented at the 2021 Annual Conference of the National Association for Research in Science Teaching (NARST), Virtual Conference.<\/li>\n\n\n\n
            5. Shin, N., He, P.<\/strong>, Li, T.<\/strong>, & Krajcik, J. (April 2021). A three-dimensional integrated learning progression and aligned assessments to monitor middle school student proficiency of energy, modeling, and cause and effect.<\/em> Paper presented at the 2021 Annual Conference of the National Association for Research in Science Teaching (NARST), Virtual Conference.<\/li>\n\n\n\n
            6. Zeng, M., Chiu, M., He, P.<\/strong>, & Krajcik, J. (April 2021). Investigating students\u2019 performance on explanations, developing and using models via the use of Next Generation Science Assessment (NGSA).<\/em> Paper presented at the 2021 Annual Conference of the National Association for Research in Science Teaching (NARST), Virtual Conference.<\/li>\n\n\n\n
            7. Zhai, X., Yang, J., Li, T.<\/strong>, He, P.<\/strong>, & Krajcik, J. (April 2021). Applying machine learning to automatically evaluate student scientific modeling competence.<\/em> Paper presented at the 2021 Annual Conference of the National Association for Research in Science Teaching (NARST), Virtual Conference.<\/li>\n<\/ol>\n\n\n\n

              2014-2020<\/h2>\n\n\n\n
                \n
              1. He, P.<\/strong>, Shin, N., & Krajcik, J. (March 2020). Design 3D classroom-based assessments for measuring middle school students\u2019 knowledge-in-use of energy: A research-based systematic approach.<\/em> Session presented at the 2020 Annual Meeting of the Michigan Science Teachers Association, Lansing, MI.<\/li>\n\n\n\n
              2. He, P.<\/strong>, Shin, N., Li, T.<\/strong>, & Krajcik, J. (March 2020). Developing an integrated learning progression and assessments to measure middle school student proficiency of energy.<\/em> Paper submitted to the 2020 Annual Conference of the National Association for Research in Science Teaching, Portland, OR. Conference canceled.<\/li>\n\n\n\n
              3. Li, T.<\/strong>, He, P.<\/strong>, Shin, N., & Krajcik, J. (March 2020). Creating authentic, three-dimensional classroom-based assessments for measuring middle school students\u2019 knowledge-in-use of energy.<\/em> Paper submitted to the 2020 Annual National Conference of the National Science Teachers Association (NSTA), Boston, MA. Conference canceled.<\/li>\n\n\n\n
              4. Miller, E., Li, T.<\/strong>, Chen, I., Codere, S., Schneider, B., & Krajcik, J. (April 2020). Leveraging flexible thinking for scientific sensemaking in ML-PBL.<\/em> Paper presented at the 2020 Annual Meeting of the American Educational Research Association (AERA), San Francisco, CA.<\/li>\n\n\n\n
              5. He, P.<\/strong>, Li, T.<\/strong>, Shin, N., & Krajcik, J. (May 2019). Creating three-dimensional classroom-based assessments for measuring middle school students\u2019 knowledge-in-use of proficiencies of science.<\/em> Poster presented at the 2019 Annual CREATE for STEM Mini-Conference, East Lansing, MI.<\/li>\n\n\n\n
              6. Li, L., Zheng, C., & He, P.<\/strong> (2018). The development, validation, and interpretation of a content coding map for analyzing chemistry lessons in Chinese secondary schools.<\/em> Paper presented at the 2018 Annual Conference of the National Chemistry Curriculum and Teaching Methodology, Keynote Speech, Chongqing, China.<\/li>\n\n\n\n
              7. Yang, Y., He, P.<\/strong>, Wu, Y., Liu, X., Gardella, J., & Li, S. (March 2018). Effects of professional development on teacher knowledge, practice, and student learning of interdisciplinary science.<\/em> Paper presented at the 2018 Annual Conference of the National Association for Research in Science Teaching, Atlanta, GA.<\/li>\n\n\n\n
              8. He, P.<\/strong>, Zheng, C., & Liu, X. (November 2016). Using many-facet multi-dimensional Rasch modeling to measure the progression of chemistry teacher teaching performance.<\/em> Paper presented at the 2016 Annual Conference of the National Chemistry Curriculum and Teaching Methodology, Keynote Speech, Wuhu, China. (In Chinese)<\/li>\n\n\n\n
              9. Yang, Y., He, P.<\/strong>, Liu, X., & Eades-Baird, M. (April 2016). Validation of an instrument for measuring students\u2019 understanding of science in grades 4\u20138 over multiple semesters: A Rasch measurement study.<\/em> Paper presented at the 2016 Annual Conference of the National Association for Research in Science Teaching, Baltimore, MD.<\/li>\n\n\n\n
              10. He, P.<\/strong>, Liu, X., Zheng, C., & Xu, K. (October 2015). Development and application of a two-tier multiple-choice diagnostic instrument to identify grade 11\u201312 students\u2019 alternative conceptions of ionic equilibrium.<\/em> Paper presented at the 2015 Annual Meeting of the East-Asian Association for Science Education (EASE) Conference, Beijing, China.<\/li>\n\n\n\n
              11. He, P.<\/strong>, Zheng, C., & Liu, X. (April 2015). Development of a coding system and instruments for assessing the quality of instructional behaviors in secondary chemistry classrooms.<\/em> Paper presented at the 2015 Annual Conference of the National Association for Research in Science Teaching, Chicago, IL.<\/li>\n\n\n\n
              12. He, P.<\/strong>, Zheng, C., & Liu, X. (April 2015). Using Rasch measurement to validate an instrument for evaluating classroom teaching in chemistry lessons.<\/em> Paper presented at the 2015 Annual Conference of the National Association for Research in Science Teaching, Chicago, IL.<\/li>\n\n\n\n
              13. He, P.<\/strong>, Zheng, C., & Liu, X. (October 2015). Developing an instrument to measure teachers\u2019 teaching performances on changes in matter.<\/em> Paper presented at the 2015 Annual Meeting of the East-Asian Association for Science Education (EASE) Conference, Beijing, China.<\/li>\n\n\n\n
              14. Yang, Y., He, P.<\/strong>, & Liu, X. (October 2015). Students\u2019 science achievements and variables of students, teachers, and parents: A structural equation modeling study.<\/em> Paper presented at the 2015 Annual Meeting of the East-Asian Association for Science Education (EASE) Conference, Beijing, China.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

                Our lab shares conference presentations by CAIRE researchers across recent years, highlighting ongoing work presented at national and international conferences<\/p>\n","protected":false},"author":44109,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"categories":[],"tags":[],"wsuwp_university_location":[],"wsuwp_university_org":[],"_links":{"self":[{"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/pages\/357"}],"collection":[{"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/users\/44109"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/comments?post=357"}],"version-history":[{"count":8,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/pages\/357\/revisions"}],"predecessor-version":[{"id":959,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/pages\/357\/revisions\/959"}],"wp:attachment":[{"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/media?parent=357"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/categories?post=357"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/tags?post=357"},{"taxonomy":"wsuwp_university_location","embeddable":true,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/wsuwp_university_location?post=357"},{"taxonomy":"wsuwp_university_org","embeddable":true,"href":"https:\/\/labs.wsu.edu\/caire\/wp-json\/wp\/v2\/wsuwp_university_org?post=357"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}