44 research outputs found
Technology readiness and implications for higher education in Universities in North-Central Nigeria
The fourth industrial revolution emphasises classroom innovation with digital and smart technology. It examined students\u27 preparation for technology-driven education in higher education and the fourth industrial revolution. A descriptive survey research design was adopted for this study. The population consisted of students from tertiary institutions, while the target population included university undergraduate and postgraduate students in universities in North-Central Nigeria. The sample comprised five hundred and seventy students across three types of institutions in Nigeria (i.e. private, state, and federal-owned institutions), drawn using proportionate and cluster sampling techniques. Data were collected using a researcher-designed and validated questionnaire with an overall reliability index of 0.86. The collected data were analysed descriptively, and non-parametric inferential statistics were tested at a 0.05 level of significance. Students were ready to use educational apps for studying, engage with immersive tech tools while learning, learn about IoT as part of their learning trajectories for 4IR compliance, embrace many technological innovations while learning, and engage in lifelong learning. Moderately technology-ready students had significant gender, age, institution, and degree of study demographics. Also, given the contemporary 4IR reality, pupils were somewhat ready for technology-enhanced education and positively inclined toward technology-driven abilities. Group dynamics are crucial to preparation. Therefore, it is recommended that students be given the opportunity to improve their technical abilities to prepare them for meaningful teaching and learning. This can be done by investing in technology, training students, and passing regulations that support worldwide competitive online learning
Modelización de los factores que predicen el aprendizaje autorregulado: Estudio de caso de una universidad pública de Nigeria: Case Study of a Public University in Nigeria
Students can encounter significant challenges when transitioning from high school to university. Students must possess the necessary skills to adjust to the self-directed learning atmosphere of the university, however frequently lack the ability to take responsibility for their own learning. This study employs path-modeling techniques to investigate and analyze the multifaceted relationships between various factors, that can predict self-regulated learning as they impact learners' academic achievements in higher education settings, as informed by an extensive review of existing literature. The population for this study were university undergraduates using a researcher-designed questionnaire for data collection. The data collected was modelled reflectively using partial least squares structural equation modelling (PLS-SEM). Results show that the measurement model assessment showed strong reliability and convergent validity of the latent constructs. However, only technology significantly predicted self-regulated learning as contributing to students' academic success in higher education. The findings from this study contribute significantly to understanding the nuanced pathways through which various learning indicators interact to predict students' self-regulation as influencing students' academic performance in the higher education space. Insights gained from the analysis offer valuable implications for relevant stakeholders aimed at fostering properly tailored conduct that enhances students' academic success in higher education.Los estudiantes pueden encontrar desafíos significativos cuando hacen la transición de la escuela secundaria a la universidad. Los estudiantes deben poseer las habilidades necesarias para adaptarse a la atmósfera de aprendizaje autodirigido de la universidad, sin embargo, a menudo carecen de la capacidad de asumir la responsabilidad de su propio aprendizaje. Este estudio emplea técnicas de modelado de rutas para investigar y analizar las relaciones multifacéticas entre varios factores, que pueden predecir el aprendizaje autorregulado a medida que afectan los logros académicos de los estudiantes Bibliografía existente. La población para este estudio fueron estudiantes universitarios de pregrado que utilizaron un cuestionario diseñado por investigadores para la recolección de datos. Los datos recogidos se modelaron reflexivamente mediante el modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM). Los resultados muestran que la evaluación del modelo de medida mostró una fuerte confiabilidad y validez convergente de los constructos latentes. Sin embargo, solo la tecnología predijo significativamente que el aprendizaje autorregulado contribuiría al éxito académico de los estudiantes en la educación superior. Los hallazgos de este estudio contribuyen significativamente a la comprensión de las vías matizadas a través de las cuales interactúan varios indicadores de aprendizaje para predecir la autorregulación de los estudiantes como influencia en el rendimiento académico de los estudiantes en el espacio de la educación superior. Los conocimientos obtenidos del análisis ofrecen valiosas implicaciones para las partes interesadas pertinentes con el fin de fomentar una conducta adecuadamente adaptada que mejore el éxito académico de los estudiantes en la educación superior
Computerised adaptive method for assessing university undergraduates’ mental well-being within an African context: An open-source set-up with Concerto
This research presents the development of a computerised adaptive testing system for assessing university undergraduates' mental health in an African setting. An item pool of 375 items that reflect eight sub-constructs of mental well-being (coping with normal stress of life, realising potential, studying effectively, social interaction, school-life balance, emotional stability, healthy living, and belief system) was developed. FastTest was used to pilot-test the item using a sample of 406 undergraduate students from South Africa and Nigeria. Each candidate was given 100 items utilising the linear on-the-fly test administration. Four hundred and seven responses were received which was subjected to psychometric analysis using the Samejima's Graded IRT model to calibrate the items. One hundred and seventy-five items resulted which was used to design the mental wellbeing adaptive scale for use within the university community at no cost to the student and institution. 1. Using concerto, the detailed inflow with an html embedded function is clearly explained. 2. The scale dynamically adjusts the difficulty/relevance of questions based on respondents' previous answers, thereby enhancing precision and reducing users test burden. 3. An adaptable, scalable, and culturally appropriate non-illness method for assessing students’ mental wellbeing being an improvement on the linear form is presented
Рецепція технологічної інтеґрації як каталізатор підготовки вчителів STEAM
STEAM Education connotes the addition of Arts to STEM education. The fourth industrial revolution as a buildup from the first three revolutions is rapidly changing the education landscape. This study examined students’ perception of technology integration for enhancing STEAM teacher training programmes in VUCA times while investigating influencing factors and impending challenges for a holistic assessment. The descriptive survey research design was adopted for this study. The population for the study was students for tertiary institutions while the target population was university teacher trainees offering STEAM-related subjects. The data was collected using a researcher designed and validated questionnaire with an overall Cronbach alpha reliability index of 0.81. The collected data was analysed descriptively (using frequency, percentages, percentile ranking) and inferentially (using a multi-level Factorial ANOVA) tested at 0.05 level of significance. The findings from this study revealed that students had a positive perception of technology integration for enhancing STEAM teacher training programmes. However, the highest-ranking influencing factor for technology integration was the availability of adequate infrastructure while the inadequate access to technology infrastructure was observed as the highest-ranked impediment. The findings of this study informed the conclusion drawn which shows how important technological integration is in pedagogy. As such, teacher training institutions must have the latest resources and use them to advance student growth, including soft skills while upholding STEAM education’s emphasis on creativity and innovation as hallmarks of discoveries.STEAM-освіта пов’язана із додаванням мистецтва до STEM. Четверта індустріальна революція, що виникла на основі перших трьох, швидко змінює освітній ландшафт. Це дослідження презентує сприйняття студентами інтеґрації технологій для вдосконалення програм підготовки вчителів STEAM у часи VUCA, а також фактори впливу й майбутні виклики для цілісної оцінки окресленої проблеми. Авторами обрано метод описового опитування. Об’єктом дослідження є студенти закладів вищої освіти, а цільовою групою – викладачі університетів, які викладають дисципліни, дотичні до STEAM. Дані були зібрані за допомогою розробленої та валідованої анкети із загальним індексом надійності альфа Кронбаха 0,81. Зібрані дані проаналізовано описово (з використанням частоти, відсотків, перцентильного ранжування) та інференційно (з використанням багаторівневого факторного аналізу ANOVA) з рівнем значущості 0,05. Виявлено, що студенти позитивно сприймають інтеґрування технологій для вдосконалення програм підготовки вчителів STEAM. З’ясовано, що фактором, який найбільше впливає на упровадження технологій для вдосконалення програм підготовки вчителів STEAM, була наявність належної інфраструктури, тоді як недостатній доступ до технологічної інфраструктури був визнаний найбільшою проблемою. Результати цього дослідження лягли в основу висновку, який показує, наскільки важливою є технологічна інтеґрація в педагогіці. Таким чином, педагогічні навчальні заклади повинні мати новітні ресурси і використовувати їх для стимулювання розвитку студентів, включаючи м’які навички, одночасно підтримуючи акцент STEAM-освіти на креативність та інновації як ознаки винахідницьких відкриттів
Computerised adaptive method for assessing university undergraduates’ mental well-being within an African context : an open-source set-up with Concerto
DATA AVAILABILITY :
The data on the Concerto parameter table and simulation report are available at: https://osf.io/24czv/ and https://osf.io/jr8w5 respectively.This research presents the development of a computerised adaptive testing system for assessing university undergraduates' mental health in an African setting. An item pool of 375 items that reflect eight sub-constructs of mental well-being (coping with normal stress of life, realising potential, studying effectively, social interaction, school-life balance, emotional stability, healthy living, and belief system) was developed. FastTest was used to pilot-test the item using a sample of 406 undergraduate students from South Africa and Nigeria. Each candidate was given 100 items utilising the linear on-the-fly test administration. Four hundred and seven responses were received which was subjected to psychometric analysis using the Samejima's Graded IRT model to calibrate the items. One hundred and seventy-five items resulted which was used to design the mental wellbeing adaptive scale for use within the university community at no cost to the student and institution.
1.
Using concerto, the detailed inflow with an html embedded function is clearly explained.
2.
The scale dynamically adjusts the difficulty/relevance of questions based on respondents' previous answers, thereby enhancing precision and reducing users test burden.
3.
An adaptable, scalable, and culturally appropriate non-illness method for assessing students’ mental wellbeing being an improvement on the linear form is presented.A grant from the Carnegie Corporation of New York which was deployed through the Future Africa Research Leadership programme.http://www.elsevier.com/locate/methodsxhj2024PsychologySDG-03:Good heatlh and well-bein
Transdisciplinary Reflections for Assessing Mental Well-being Data
Transdisciplinary Reflections for Assessing Mental Well-being Dat
Transdisciplinary Reflections for Assessing Mental Well-being Data
Transdisciplinary Reflections for Assessing Mental Well-being Dat
