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Heidi Taveter; Marina Lepp – Informatics in Education, 2025
Learning programming has become increasingly popular, with learners from diverse backgrounds and experiences requiring different support. Programming-process analysis helps to identify solver types and needs for assistance. The study examined students' behavior patterns in programming among beginners and non-beginners to identify solver types,…
Descriptors: Behavior Patterns, Novices, Expertise, Programming
Jinju Lee; Jongchan Park; Dongsik Kim – Instructional Science: An International Journal of the Learning Sciences, 2024
This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…
Descriptors: Knowledge Level, Problem Solving, Metacognition, Cognitive Ability
Maria Adriana Neroni; Nathan Crilly; Maria Antonella Brandimonte – Journal of Creative Behavior, 2024
When faced with the need to transform an object, idea, or situation, people have a tendency to favor adding new components rather than removing existing ones. This is called the "additive bias." Previous research, along with historical and anecdotal examples, shows that this bias may significantly reduce problem-solving abilities and…
Descriptors: Association Measures, Associative Learning, Bias, Problem Solving
Kun Huang; Victor Law; Xun Ge; Yan Chen; Ling Hu – Journal of Computing in Higher Education, 2025
Information problem solving (IPS) is an important twenty-first century skill, but it is lacking at all age levels. One type of information problem, those of an ill-structured nature that require multiple iterations of (re)defining problems and formulating emerging solutions, can be particularly challenging but have received less attention in the…
Descriptors: Problem Solving, Epistemology, Beliefs, Student Attitudes
Ella Anghel; Lale Khorramdel; Matthias von Davier – Large-scale Assessments in Education, 2024
As the use of process data in large-scale educational assessments is becoming more common, it is clear that data on examinees' test-taking behaviors can illuminate their performance, and can have crucial ramifications concerning assessments' validity. A thorough review of the literature in the field may inform researchers and practitioners of…
Descriptors: Educational Assessment, Test Validity, Test Items, Reaction Time
Yi-Shiuan Chou; Huei-Tse Hou; Kuo-En Chang – Education and Information Technologies, 2024
The trend in history education is gradually emphasizing the development of historical thinking and collaborative problem-solving skills, which are expected to enhance the breadth and depth of learners' thinking. The integration of game-based learning with collaborative problem-solving activities designed for historical thinking is expected to help…
Descriptors: History Instruction, Instructional Effectiveness, Behavior Patterns, Cognitive Processes
Mengyuan Chen; Lan Wu; Baoping Li; Yang Liu – Educational Technology & Society, 2024
Students in the 21st century are expected to possess the ability to solve ill-defined complex problems (ICPs). One challenge to understanding students' ability to solve ICPs is the lack of methods for measuring noncognitive and metacognitive behaviors and relating those behaviors to cognitive behaviors with the goal of investigating differences in…
Descriptors: Foreign Countries, Elementary School Students, Grade 6, 21st Century Skills
Olga V. Sims – ProQuest LLC, 2024
The purpose of the study was to analyze the historical patterns in the relationship between specific types of disabilities and frequency of drug abuse or weapon offenses in public schools in the United States using the U.S. Department of Education Open Data Platform's (n.d.) data sets from 2011-2012 through 2020-2021. The problem is that students…
Descriptors: Behavior Patterns, Students with Disabilities, Drug Use, Weapons
Kuan-Fu Chen; Gwo-Jen Hwang; Mei-Rong Alice Chen – Educational Technology Research and Development, 2024
Laboratory courses can help students learn in a meaningful way. In the past, students encountered difficulties in chemistry laboratory courses due to limited access to equipment and space for practicing experimental operations. In recent years, virtual laboratories have allowed students to repeatedly practice in order to achieve their experimental…
Descriptors: Concept Mapping, Virtual Classrooms, Laboratories, Student Behavior
Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2024
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory