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Makruf, Imam; Rifa'i, Andi Arif; Triana, Yunika – International Journal of Instruction, 2022
The COVID-19 pandemic gives a big impact on various aspects of human life, including higher education institutions. Institut Agama Islam Negeri (State Institute for Islamic Studies) Surakarta (IAIN Surakarta) as one of the Islamic higher education institutions in Indonesia has developed online learning management using Moodle platform. This study…
Descriptors: Higher Education, Integrated Learning Systems, Online Courses, Islam
Wang, Faming; Liu, Yaping; Leung, Shing On – School Effectiveness and School Improvement, 2022
Disciplinary climate and opportunity to learn (OTL) are considered as effectiveness-enhancing factors that can improve mathematics achievement. In this study, we investigated whether the school-level aggregation of student-reported OTL could yield reliable and valid measures, and then explored the relationships among disciplinary climate, OTL, and…
Descriptors: Mathematics Achievement, Structural Equation Models, Discipline Policy, Educational Environment
Spensberger, Florian; Kollar, Ingo; Pankofer, Sabine – Journal of Social Work Education, 2022
To provide clients with the best possible treatment, social workers require fallacy recognition skills. Ideally, these skills are already acquired during university education. We conducted an experimental study with a 2 × 2 factorial design (and an additional baseline condition) with worked examples (with/without) and external scripts…
Descriptors: Social Work, Counselor Training, Counselor Client Relationship, Comparative Analysis
Galante, Angelica – International Journal of Multilingualism, 2022
As multi/plurilingual research advances understandings of plurilingual speakers' fluid language use, particularly in multilingual settings, new research methods and pedagogical orientations that address this complex phenomenon are needed. The present study considered the development, reliability, and validity of the Plurilingual and Pluricultural…
Descriptors: Multilingualism, Likert Scales, Teaching Methods, Measures (Individuals)
Saleh, Asmalina; Phillips, Tanner M.; Hmelo-Silver, Cindy E.; Glazewski, Krista D.; Mott, Bradford W.; Lester, James C. – British Journal of Educational Technology, 2022
This exploratory paper highlights how problem-based learning (PBL) provided the pedagogical framework used to design and interpret learning analytics from "Crystal Island: EcoJourneys," a collaborative game-based learning environment centred on supporting science inquiry. In "Crystal Island: EcoJourneys," students work in teams…
Descriptors: Cooperative Learning, Learning Analytics, Pretests Posttests, Problem Based Learning
Chaipongpati, Jirawan; Thawesaengskulthai, Natcha; Koiwanit, Jarotwan – Industry and Higher Education, 2022
Universities are centres of innovation and technology transfer, and they play a particularly strong role in the countries of the Association of Southeast Asian Nations (ASEAN) with developing technology programs. However, there are only a few assessment tools for evaluating a university's innovation ecosystem, and these tools are frequently…
Descriptors: Universities, Innovation, Technology Transfer, Program Development
Frey, T. Kody; Tatum, Nicholas T. – Communication Education, 2022
Three studies (N = 1,346) detail the development of three theoretically grounded instruments operationalizing "instructor strictness." Using open-ended questionnaire data (n = 427), study 1 inductively derives an understanding of the instructor behaviors that students perceive as strict. These patterns of behavior are then condensed into…
Descriptors: Teaching Methods, Teacher Behavior, Student Attitudes, Behavior Patterns
Investigation of Education Value Perception Scale's Psychometric Properties According to CTT and IRT
Dilek, Harun; Akbas, Ufuk – International Journal of Assessment Tools in Education, 2022
The purpose of this study is to develop Education Value Perception Scale (EVPS) based on Bronfenbrenner's Ecological Theory and to investigate its psychometric properties according to Classical Test Theory (CTT) and Item Response Theory (IRT). The data were collected from 2872 secondary school students by stratified purposeful sampling method.…
Descriptors: Item Response Theory, Psychometrics, Systems Approach, Measures (Individuals)
Ohrt, Jonathan H.; Deaton, Jennifer; Gonzales, Shelby; Guest, Jessie – Professional School Counseling, 2022
School counselors play an integral role in fostering students' noncognitive skills (e.g., social/emotional skills, mindsets) identified within the American School Counselor Association Mindsets & Behaviors Standards. We analyzed responses from a sample of 1484 high school students to explore the factor structure of the "School Counselor…
Descriptors: High School Students, School Counselors, Social Emotional Learning, Decision Making
Kelly Hawkinson – ProQuest LLC, 2022
Every student comes into each classroom with a unique mathematical identity. Mathematical identity consists of the stories about a person's confidence, beliefs, and persistence with mathematics as told by her/himself or by others (Gweshe & Brodie, 2019). Identity is not fixed (Dweck & Yeager, 2019; Wenger, 1998) and is dynamic within a…
Descriptors: Grade 7, Self Concept, Mathematics Instruction, Mathematics Achievement
Hamlin, Iain; Wright, Gordon R. T.; Van der Zee, Sophie; Wilson, Stuart – Applied Cognitive Psychology, 2018
Many perceived cues to deception have been reported in the literature, but little attention has been paid to how they are combined when making deception judgments. The present research used a data-driven approach to investigate how cues are integrated when evaluating veracity. Two hundred fifteen participants performed a deception detection task…
Descriptors: Deception, Cues, Recognition (Psychology), Identification
Goldin, Ilya; Galyardt, April – Journal of Educational Data Mining, 2018
Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…
Descriptors: Predictor Variables, Models, Learning Processes, Matrices
Abascal, Elena; Díaz De Rada, Vidal; García Lautre, Ignacio; Landaluce, M. Isabel – International Journal of Social Research Methodology, 2018
In the field of social sciences, certain tasks, such as the identification of typologies and the characterization of groups of individuals according to a set of questions, tend to pose a challenge for researchers. Further complications arise if the chosen rating scale is from 0 to 10, since the responses can be treated either as metric or…
Descriptors: Social Science Research, Research Problems, Rating Scales, Factor Analysis
Zopluoglu, Cengiz; Davenport, Ernest C., Jr. – Practical Assessment, Research & Evaluation, 2017
The dimensionality of a set of items is important for scale development. In practice, tools that make use of eigenvalues are often used to assess dimensionality. Parallel analysis is featured here as it is becoming an increasingly popular method for assessing the number of dimensions, and computational tools have recently been made available which…
Descriptors: Correlation, Item Response Theory, Multidimensional Scaling, Factor Analysis
Bhattacharya, Radha; Gill, Andrew – Journal of Financial Counseling and Planning, 2020
We surveyed high school students in Southern California to investigate whether there is an improvement in financial attitudes from eight class periods of financial literacy intervention in a high school economics course. We examine whether the money management (MM) and financial investing (FI) components of financial instruction influence…
Descriptors: High School Students, Student Attitudes, Money Management, Literacy

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