{"id":686,"date":"2025-08-14T11:08:47","date_gmt":"2025-08-14T11:08:47","guid":{"rendered":"https:\/\/educationaldatamining.org\/edm2025\/?page_id=686"},"modified":"2025-08-14T11:09:49","modified_gmt":"2025-08-14T11:09:49","slug":"awards","status":"publish","type":"page","link":"https:\/\/educationaldatamining.org\/edm2025\/awards\/","title":{"rendered":"Awards"},"content":{"rendered":"\n

2024 Prof. Ram Kumar Educational Data Mining Test of Time Award<\/strong>:<\/h3>\n\n\n\n

Radek Pel\u00e1nek, for his paper \u201cMetrics for Evaluation of Student Models<\/p>\n\n\n\n

Best paper awards<\/u><\/strong><\/h3>\n\n\n\n

The winners of the EDM2025 Best paper award<\/strong> were:
Liang Tang and Nigel Bosch, for their paper \u201cHuman-crafted Features in Machine Learning  Increase Trust but Risk Over-reliance\u201d<\/p>\n\n\n\n

The winners of the EDM2025 Best short paper award<\/strong> were:
Seehee Park, Danielle Shariff, Mohammad Amin Samadi, Nia Nixon and Sidney D\u2019Mello, for their paper \u201cFrom Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP\u201d<\/p>\n\n\n\n

The winners of the EDM2025 Best poster paper award<\/strong> were:
Mark Kim, Shreyas Raghuraman, Arno Puder, Craig Hayward and Hui Yang, for their paper \u201cPredicting Course Transferability Using Deep Embeddings and Traditional Classifiers\u201d<\/p>\n\n\n\n

Nominees<\/u><\/strong><\/u><\/strong><\/h3>\n\n\n\n

Full Papers:<\/strong><\/p>\n\n\n\n

    \n
  • Starting Seatwork Earlier as a Valid Measure of Student Engagement
    <\/strong>Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth Koedinger<\/em><\/li>\n\n\n\n
  • Human-crafted Features in Machine Learning Increase Trust but Risk Over-reliance
    <\/strong>Liang Tang, Nigel Bosch<\/em><\/li>\n\n\n\n
  • Analysis of Students\u2019 Attempts Trajectories in Learning Programming
    <\/strong>Idir Sa\u00efdi, Nicolas Durand, Fr\u00e9d\u00e9ric Flouvat<\/em><\/li>\n\n\n\n
  • Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability
    <\/strong>Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch<\/em><\/li>\n\n\n\n
  • Nonstandard English and the Automated Scoring of Open-Ended Math Problems
    <\/strong>Abubakir Siedahmed, Jaclyn Ocumpaugh, Zelda Ferris, Dinesh Kodwani, Neil Heffernan, Eamon Worden<\/em><\/li>\n<\/ul>\n\n\n\n

    Short papers:<\/strong><\/p>\n\n\n\n

      \n
    • Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA
      <\/strong>Conrad Borchers<\/em><\/li>\n\n\n\n
    • Using Survival Analysis to Identify the Factors that Mitigate Attrition among Adult Learners with Low Literacy Skills in an ITS-based Literacy Program
      <\/strong>Genghu Shi, Shun Peng, Daphne Greenberg, Jan Frijters, Arthur Graesser<\/em><\/li>\n\n\n\n
    • Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software
      <\/strong>Pranjli Khanna, Kaleb Mathieu, Kole Norberg, Husni Almoubayyed, Stephen Fancsali<\/em><\/li>\n\n\n\n
    • Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally?
      <\/strong>Aylin Ozturk, Robin Schmucker, Tom Mitchell, Alper Tolga Kumtepe<\/em><\/li>\n\n\n\n
    • From Discourse to Dynamics: Understanding Team Interactions Through Temporally Sensitive NLP
      <\/strong>Seehee Park, Danielle Shariff, Mohammad Amin Samadi, Nia Nixon, Sidney D’Mello<\/em><\/li>\n<\/ul>\n\n\n\n

      Poster papers:<\/strong><\/p>\n\n\n\n

        \n
      • Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers
        <\/strong>Mark Kim, Shreyas Raghuraman, Arno Puder, Craig Hayward, Hui Yang<\/em><\/li>\n\n\n\n
      • On the Practicality of Differential Privacy for Knowledge Tracing
        <\/strong>Anika Kabir, Chandan Tankala, Daniel Lowd<\/em><\/li>\n<\/ul>\n\n\n\n

        <\/p>\n","protected":false},"excerpt":{"rendered":"

        2024 Prof. Ram Kumar Educational Data Mining Test of Time Award: Radek Pel\u00e1nek, for his paper \u201cMetrics for Evaluation of Student Models Best paper awards The winners of the EDM2025 Best paper award were: Liang Tang and Nigel Bosch, for their paper \u201cHuman-crafted Features in Machine Learning  Increase Trust but Risk Over-reliance\u201d The winners of the EDM2025 Best […]<\/p>\n","protected":false},"author":26,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-686","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages\/686","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/comments?post=686"}],"version-history":[{"count":3,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages\/686\/revisions"}],"predecessor-version":[{"id":691,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/pages\/686\/revisions\/691"}],"wp:attachment":[{"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/media?parent=686"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/categories?post=686"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/educationaldatamining.org\/edm2025\/wp-json\/wp\/v2\/tags?post=686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}