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Gregory M. Hurtz; Regi Mucino – Journal of Educational Measurement, 2024
The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…
Descriptors: Student Reaction, Reaction Time, Response Style (Tests), Test Items
Heng Zhang; Minhong Wang – Knowledge Management & E-Learning, 2024
With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…
Descriptors: Artificial Intelligence, Models, Recognition (Psychology), Nonverbal Communication
Schulz, Sandra; McLaren, Bruce M.; Pinkwart, Niels – International Journal of Artificial Intelligence in Education, 2023
This paper develops a method for the construction and evaluation of cognitive models to support students in their problem-solving skills during robotics in school, aiming to build a basis for an implementation of a tutoring system in the future. Two Wizard-of-Oz studies were conducted, one in the classroom and one in the lab. Based on the…
Descriptors: Cognitive Processes, Models, Intelligent Tutoring Systems, Robotics
Wilson, Joseph; Pollard, Benjamin; Aiken, John M.; Lewandowski, H. J. – Physical Review Physics Education Research, 2022
Surveys have long been used in physics education research to understand student reasoning and inform course improvements. However, to make analysis of large sets of responses practical, most surveys use a closed-response format with a small set of potential responses. Open-ended formats, such as written free response, can provide deeper insights…
Descriptors: Natural Language Processing, Science Education, Physics, Artificial Intelligence
Vanessa Carlita Johnson Ojeda – ProQuest LLC, 2023
Amidst the current unprecedented climate, characterized by events such as COVID-19, overt acts of racism, insurrection, the emergence of White supremacist groups, high-profile murders of Black and Brown individuals by the police, increased political activism, and unapologetic racist political rhetoric, this research aimed to examine how external…
Descriptors: College Students, Student Attitudes, Racial Attitudes, Racism
Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
Carless, David – Assessment & Evaluation in Higher Education, 2019
A key challenge for feedback practice involves promoting student uptake through the closing of feedback loops. This paper investigates feedback loops by using the concepts of single and double-loop learning to interrogate student responses to feedback. Single-loop learning tackles an identified problem or task, whereas double-loop learning…
Descriptors: Feedback (Response), Undergraduate Students, Student Reaction, Student Experience
Crisostomo, Marisa E.; Chauhan, Rahul S. – Management Teaching Review, 2019
Management educators understand the importance of providing feedback to students, but are they capable of providing effective feedback? Several laboratory and classroom studies have examined different types of feedback and their effectiveness, but we recommend examining normative feedback practices among instructors. This article presents a brief…
Descriptors: Individualized Instruction, Feedback (Response), Models, Administrator Education
Isenhower, Robert W.; Delmolino, Lara; Fiske, Kate E.; Bamond, Meredith; Leaf, Justin B. – Journal of Behavioral Education, 2018
Research generally supports the use of error-correction procedures that require active student responses (ASRs). However, some recent research suggests that requiring ASRs after errors is not always advantageous for individuals with autism spectrum disorder (ASD). We examined acquisition in a receptive identification task for two learners with ASD…
Descriptors: Error Correction, Autism, Pervasive Developmental Disorders, Task Analysis
Eaton, Philip; Willoughby, Shannon D. – Physical Review Physics Education Research, 2018
In 1995, Huffman and Heller used exploratory factor analysis to draw into question the factors of the Force Concept Inventory (FCI). Since then several papers have been published examining the factors of the FCI on larger sets of student responses and understandable factors were extracted as a result. However, none of these proposed factor models…
Descriptors: Factor Analysis, Measures (Individuals), Physics, Science Instruction
Mersin, Gariban; Köprülü, Fatma; Öznacar, Behcet – Pegem Journal of Education and Instruction, 2022
In this study, it is aimed to evaluate the positive or negative effects of the communication model applied in primary school classrooms on the academic success of Syrian immigrant students from the perspective of teachers and students. Therefore, the case study method, which is a qualitative research method, was preferred. The study group of the…
Descriptors: Foreign Countries, Elementary School Teachers, Elementary School Students, Immigrants
Timms, Michael; DeVelle, Sacha; Lay, Dulce – Australian Journal of Education, 2016
It is well known that learners using intelligent learning environments make different use of the feedback provided by the intelligent learning environment and exhibit different patterns of behaviour. Traditional approaches to measuring such behaviour have focused on observational methods, think-aloud protocols, ratings and log data. More recently,…
Descriptors: Feedback (Response), Learning Processes, Intelligent Tutoring Systems, Models
Wang, Junhua – Journal of Technical Writing and Communication, 2018
In the field of business and technical communication, scholars have called for research on dealing with cultural conflict for a long time. But the limited study on dealing with cultural conflicts, along with the current political context in the United States, calls for efforts to systematically address diversity issues and cultural conflict in our…
Descriptors: Conflict Resolution, Cultural Differences, Models, Business Communication
Eleje, Lydia I.; Esomonu, Nkechi P. M. – Asian Journal of Education and Training, 2018
A Test to measure achievement in quantitative economics among secondary school students was developed and validated in this study. The test is made up 20 multiple choice test items constructed based on quantitative economics sub-skills. Six research questions guided the study. Preliminary validation was done by two experienced teachers in…
Descriptors: Item Response Theory, Secondary Schools, Foreign Countries, Secondary School Students