Science and Mathematics Teachers’ Intention Towards Adopting CL4STEM Technology-based Instructional Initiative to Enhance Higher Order Teaching with Equity and Inclusion in Nigeria

The study examined Nigeria Science and Mathematics Teachers’ intention towards adopting the CL4STEM technology-based instructional (OER) modules to enhance higher-order thinking with Inclusion and Equity (HOTIE). The study adopted a descriptive correlational design. The population of the study was all mathematics and science teachers in some selected Northern States (Niger, Kaduna, and Kano) in Nigeria. The sample size was 100 science and mathematics teachers. The instrument for data collection was structured questionnaires on teachers’ Performance Expectancy, Effort Expectancy, Social Influence, and Behavioural Intention toward adopting the CL4STEM technology-based instructional (OER) modules. Smart PLS version 3, was utilized to test the measurement model, and structural model, and verify the convergent and discriminant validity. The findings show a positive and significant relationship between science and mathematics teachers’ Performance Expectancy, Effort Expectancy, Social Influence, and Behavioural Intention toward adopting the CL4STEM technology-based instructional (OER) modules. It was concluded that teachers’ intention to adopt them in their classroom practices was influenced by their perceived usefulness, ease of use, and social influence. The finding suggests that science and mathematics teachers would most likely sustain the use of CL4STEM technology-based instructional (OER) modules to enhance HOTIE in Nigeria.

Authors

Publication Details

Journal
Journal of Science Learning
Published
2025-03-27
DOI
https://doi.org/10.17509/jsl.v8i1.75651
Primary Topic
Educational Practices and Challenges
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Science and Mathematics Teachers’ Intention Towards Adopting CL4STEM Technology-based Instructional Initiative to Enhance Higher Order Teaching with Equity and Inclusion in Nigeria

Mustapha Mohammed Tajordeen, Yaki A. Akawo, Kabir S. Fatima, Hussain B. Mufida
Journal of Science Learning
Educational Practices and Challenges
article

Science and Mathematics Teachers’ Intention Towards Adopting CL4STEM Technology-based Instructional Initiative to Enhance Higher Order Teaching with Equity and Inclusion in Nigeria

Mustapha Mohammed Tajordeen, Yaki A. Akawo, Kabir S. Fatima, Hussain B. Mufida
article en

Abstract

The study examined Nigeria Science and Mathematics Teachers’ intention towards adopting the CL4STEM technology-based instructional (OER) modules to enhance higher-order thinking with Inclusion and Equity (HOTIE). The study adopted a descriptive correlational design. The population of the study was all mathematics and science teachers in some selected Northern States (Niger, Kaduna, and Kano) in Nigeria. The sample size was 100 science and mathematics teachers. The instrument for data collection was structured questionnaires on teachers’ Performance Expectancy, Effort Expectancy, Social Influence, and Behavioural Intention toward adopting the CL4STEM technology-based instructional (OER) modules. Smart PLS version 3, was utilized to test the measurement model, and structural model, and verify the convergent and discriminant validity. The findings show a positive and significant relationship between science and mathematics teachers’ Performance Expectancy, Effort Expectancy, Social Influence, and Behavioural Intention toward adopting the CL4STEM technology-based instructional (OER) modules. It was concluded that teachers’ intention to adopt them in their classroom practices was influenced by their perceived usefulness, ease of use, and social influence. The finding suggests that science and mathematics teachers would most likely sustain the use of CL4STEM technology-based instructional (OER) modules to enhance HOTIE in Nigeria.

Journal of Science LearningVol. 8(1)
Openalex Percentile: Top 90%
Educational Practices and Challenges
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.