Research Evaluation • Scientometrics • Scholarly Communication
Teaching
Teaching forms an important part of Dr Valentine Joseph Owan's academic work. His teaching covers educational measurement, statistics, research methods, classroom assessment, and quantitative data analysis. The emphasis is on helping students understand basic concepts, develop practical skills, and apply appropriate methods to educational and research problems. Through classroom teaching, practical exercises, and research supervision, students are encouraged to develop critical thinking, analytical skills, and sound academic practice.
Teaching profile
Teaching responsibilities currently span undergraduate and sandwich programmes in educational measurement, statistics, research methods, and classroom assessment. Classroom instruction is supported with practical examples, guided exercises, and applications drawn from educational research and professional practice.
Educational measurement and classroom assessment
Educational statistics and quantitative data analysis
Research methods and research design
Test construction, item analysis, and psychometrics
Research ethics and responsible use of artificial intelligence in higher education
Courses are presented according to academic session and programme. As teaching responsibilities expand, additional sessions and courses will be added to this page.
2025/2026 Academic Session
Undergraduate Programme
EDU 302: Educational Measurement, Tests, Research Methods and Statistics
This course introduces students to the basic principles of educational measurement, classroom assessment, research methods, and statistical analysis. Major areas include test development, validity, reliability, descriptive and inferential statistics, research design, hypothesis testing, and contemporary issues such as computer based testing and artificial intelligence in educational assessment.
Sandwich Programme
EDU 341: Basic Statistics in Education
Introduces statistical concepts used in education, including data presentation, measures of central tendency and variability, probability, hypothesis testing, correlation, regression, and the interpretation of statistical results in educational research.
EDU 343: Tests and Measurement in Education
Covers classroom assessment, test construction, scoring, item analysis, reliability, validity, continuous assessment, and the interpretation of students' test scores for instructional decision making.
Detailed course outlines, recommended reading lists, and selected learning materials are available to registered students and may also be shared on request where appropriate.
Teaching areas
Teaching activities cover educational measurement, statistics, research methods, and classroom assessment. The courses are designed to help students develop sound theoretical knowledge alongside practical skills that can be applied in educational research, classroom practice, and professional decision making.
Core Areas
Educational Measurement and Evaluation
Tests and Classroom Assessment
Research Methods in Education
Educational Statistics
Research Design
Quantitative Data Analysis
Advanced Areas
Psychometrics
Structural Equation Modelling (SEM)
Research Analytics
Research Evaluation
Scholarly Communication
Responsible Use of Artificial Intelligence in Education
Learning resources are developed to complement classroom instruction and independent study. Selected materials may be shared electronically or in print as required for specific courses.
Academic support is provided to undergraduate and postgraduate students undertaking educational and interdisciplinary research. Guidance is intended to strengthen methodological quality, statistical analysis, and scholarly writing.
Areas of Support
Research proposal development
Research design and methodology
Questionnaire development and validation
Psychometric and statistical analysis
Results interpretation and academic writing
Preparation of dissertations, theses, and journal manuscripts
In addition to regular teaching responsibilities, professional training is provided for students, researchers, educational institutions, and professional groups. The training sessions combine theory with practical activities and are adapted to the needs of the participants.
Training Areas
Research methods in education and the social sciences
Educational measurement and classroom assessment
Educational statistics and quantitative data analysis using SPSS
Questionnaire development, validation, and psychometric analysis
Research proposal development and thesis writing
Academic writing and scholarly publishing
Structural Equation Modelling (SEM) and research analytics
Responsible application of artificial intelligence in teaching and research
Research Capacity Development
Through the Ultimate Research Network (URN), research capacity development activities are organised to strengthen research skills among undergraduate students, postgraduate students, early-career researchers, and academic staff. These activities include practical workshops, research mentoring, data analysis clinics, and academic writing support.
Teaching is organised to help students develop a clear understanding of concepts before progressing to practical applications. Classroom activities combine lectures, guided discussions, practical exercises, problem-solving tasks, and real educational examples to encourage active participation and independent learning.
Students are encouraged to ask questions, think critically, interpret evidence carefully, and apply appropriate methods when solving educational and research problems. Emphasis is placed on academic integrity, ethical conduct, and responsible use of digital technologies, including artificial intelligence, in teaching, learning, and research.