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Isolda Margarita Castillo-Martínez; Davis Velarde-Camaqui; María Soledad Ramírez-Montoya; Jorge Sanabria-Z – Journal of Social Studies Education Research, 2024
Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…
Descriptors: Psychometrics, Test Validity, Test Reliability, Difficulty Level
Harder, Joseph; Abuhamdieh, Ayman H.; Weber, Peter – Journal of Educators Online, 2021
The present study operationalizes perceived positive regard in the form of a practical measure that can be applied in distance delivery settings. We collected data by surveying distance students at our university. The questions pertained to the quality of learning and the positive regard of the instructor as perceived by the students. Analytical…
Descriptors: Distance Education, College Students, Student Attitudes, Likert Scales
Examining the Relationship between Teacher Candidates' Individual Values and Leadership Orientations
Cansoy, Ramazan; Tofur, Sezen – Journal of Education and Practice, 2017
The aim of this study was to examine the relationship between teacher candidates' individual values and leadership orientations. The participants of the study were a total of 452 teacher candidates studying in the pedagogical formation program of Karabük University in the 2016-2017 academic year. The Leadership Orientations Scale and Portrait…
Descriptors: Values, Relationship, Leadership, Predictor Variables
Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
Ashraf, Mohammad A.; Osman, Abu Zafar Rashed; Ratan, Sarker Rafij Ahmed – Quality Assurance in Education: An International Perspective, 2016
Purpose: The purpose of the present study is to identify the determinants that potentially influence quality education in private universities in Bangladesh. Design/methodology/approach: To attain this objective, 234 data were collected through face-to-face interviews on campus during February-March 2013 from Bachelor of Business Administration…
Descriptors: Foreign Countries, Educational Quality, Private Colleges, College Students
Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H. – Educational Technology & Society, 2018
Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Data Collection
Brodeur, Pascale; Larose, Simon; Tarabulsy, George; Feng, Bei; Forget-Dubois, Nadine – Mentoring & Tutoring: Partnership in Learning, 2015
Researchers suggest that certain supportive behaviors of mentors could increase the benefits of school-based mentoring for youth. However, the literature contains few validated instruments to measure these behaviors. In our present study, we aimed to construct and validate a tool to measure the supportive behaviors of mentors participating in…
Descriptors: Foreign Countries, Mentors, Motivation, College Students
Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Ernst, Jeremy V.; Bowen, Bradley D.; Williams, Thomas O. – American Journal of Engineering Education, 2016
Students identified as at-risk of non-academic continuation have a propensity toward lower academic self-efficacy than their peers (Lent, 2005). Within engineering, self-efficacy and confidence are major markers of university continuation and success (Lourens, 2014 Raelin, et al., 2014). This study explored academic learning self-efficacy specific…
Descriptors: Engineering, Engineering Education, College Freshmen, Academic Achievement
Li, Lan; Gao, Fei – Assessment & Evaluation in Higher Education, 2016
Peer assessment has been increasingly integrated in educational settings as a strategy to foster student learning. Yet little has been studied about how students at different learning levels may benefit from peer assessment. This study examined how peer-assessment and students' learning levels influenced students' project performance using a…
Descriptors: Peer Evaluation, Performance Based Assessment, Factor Analysis, Statistical Analysis
Glazer, Nirit – Chemistry Education Research and Practice, 2015
This study examines how students perceive their learning of creating and analyzing data in an introductory inquiry chemistry course at a college level that features oral presentations in student-centered discussions. A student Participant Perception Indicator (PPI) survey was administered in order to obtain data on student perceptions with respect…
Descriptors: Student Attitudes, Scientific Attitudes, Data Collection, Data Analysis
Heredia, Keily; Xu, Xiaoying; Lewis, Jennifer E. – Chemistry Education Research and Practice, 2012
The Particulate Nature of Matter and Chemical Bonding Diagnostic Instrument (Othman J., Treagust D. F. and Chandrasegaran A. L., (2008), "Int. J. Sci. Educ.," 30(11), 1531-1550) is used to investigate college students' understanding of two chemistry concepts: particulate nature of matter and chemical bonding. The instrument, originally…
Descriptors: College Students, Diagnostic Tests, Chemistry, Factor Analysis
Karrie A. Shogren; Mauricio Garnier Villarreal – Journal of Special Education, 2015
The purpose of this study was to use data from the National Longitudinal Transition Study-2 (NLTS2) to (a) conceptually identify and empirically establish student, family, and school constructs; (b) explore the degree to which the constructs can be measured equivalently across disability groups; and (c) examine latent differences (means,…
Descriptors: Longitudinal Studies, Construct Validity, Disabilities, Statistical Data
An Empirical Investigation of Student Evaluations of Instruction--The Relative Importance of Factors
Nargundkar, Satish; Shrikhande, Milind – Decision Sciences Journal of Innovative Education, 2012
We analyzed over 100,000 student evaluations of instruction over 4 years in the college of business at a major public university. We found that the original instrument that was validated about 20 years ago is still valid, with factor analysis showing that the six underlying dimensions used in the instrument remained relatively intact. Also, we…
Descriptors: Student Evaluation of Teacher Performance, College Students, Business Administration Education, Data Analysis
Gunnell, Katie E.; Wilson, Philip M.; Zumbo, Bruno D.; Mack, Diane E.; Crocker, Peter R. E. – Measurement in Physical Education and Exercise Science, 2012
The researchers examined if scores from the original Psychological Need Satisfaction in Exercise Scale (Wilson, Rogers, Rodgers, & Wild, 2006) were invariant from a modified version specific to physical activity and then examined measurement invariance of scores across groups on the modified scale. Three groups were examined: (a) Students/staff…
Descriptors: Psychological Needs, Physical Activities, Structural Equation Models, Factor Structure
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