Materials Similar to Using natural language processing to predict student problem solving performance

home » Detail Page » Similar Materials

Materials Similar to Using natural language processing to predict student problem solving performance

54%: Strong preference among graduate student teaching assistants for problems that are broken into parts for their students overshadows development of self-reliance in problem-solving
51%: The Effect of Students’ Learning Orientations on Performance in Problem Solving Pedagogical Implementations
46%: Changes in students’ problem-solving strategies in a course that includes context-rich, multifaceted problems
46%: Using Reflection with Peers to Help Students Learn Effective Problem Solving Strategies
44%: Understanding Students' Poor Performance on Mathematical Problem Solving in Physics
44%: Evaluating the effectiveness of two methods to improve students' problem solving performance after studying an online tutorial
43%: Authentic assessment of students' problem solving
43%: Examination of Students’ Self-monitoring in Problem Solving
43%: Synthesis problems: role of mathematical complexity in students' problem solving strategies
41%: Assessing student expertise in introductory physics with isomorphic problems. II. Effect of some potential factors on problem solving and transfer
41%: Assessing student expertise in introductory physics with isomorphic problems. I. Performance on nonintuitive problem pair from introductory physics
40%: Comparing problem solving performance of physics students in inquiry-based and traditional introductory physics courses
40%: Using the context of physics problem-solving to evaluate the coherence of student knowledge
38%: Should students be provided diagrams or asked to draw them while solving introductory physics problems?
38%: Pedagogy and/or technology: Making difference in improving students’ problem solving skills
38%: Potential Relationship of Chosen Major to Problem Solving Attitudes and Course Performance
38%: A tale of two guessing strategies: interpreting the time students spend solving problems through online log data
38%: Development of a Survey Instrument to Gauge Students’ Problem-Solving Abilities
38%: Assessing students' ability to solve introductory physics problems using integrals in symbolic and graphical representations