The study investigated the perception of teachers of agriculture about Supervised Agricultural Experience Programmes (SAEP) in secondary schools in Ekiti and Ondo States. The population used for the study consisted of 520 teachers of agricultural science in all the secondary schools in Ekiti and Ondo States. The sample used for this study was 136 teachers of agricultural science drawn through a proportionate stratified sampling technique to pick four(4) teachers from each of the 34 Local Government of the two states. The Instrument used was a structured questionnaire to investigate the extend to which the teachers agreed on disagree with statemenst regarding SAEP. The questionnaire were test and re-tested yielding a reliability co-efficient of 89. (Cronbach alpha). The data for the study were analyzed using mean, standard deviation t-test and two tailed probability statistics. The probability level was set at P<0.05. Thirty eight items were generated for the study. The study found out among others that the teaching of agriculture needs improvement; that though SEAP related contents are in the agricultural science curriculum the teaching and learning of agriculture are not vocationally oriented in Ekiti and Ondo States. It was recommended among others that agricultural programmes in all schools should include supervised agricultural experience programmes, while the State School Boards in collaboration with relevant Ministries should conduct informational workshop and orientation on SAEP for educational planners, administrator and teachers of agriculture in Nigeria.

Achieving educational goals is based on the skills and competence of teachers; therefore, professional development of teachers is important to policy and decision-makers. Worldwide, the percentage of teachers who leave the profession within their first years of teaching is high therefore, professional support is essential to ease on their integration. Previous research indicates a positive and significant correlation between teachers' self-efficacy and their attitudes toward the teaching profession. Our study included three hypotheses: 1) teachers' pedagogical applications serve as mediators for the relationship between teachers' self-efficacy and their attitudes toward the profession; 2) participating in a professional development school (PDS) training program interacts with teachers' self-efficacy in predicting their attitudes toward the profession; and, 3) participation in a PDS training program will positively affect the two variables. A close and open-ended questionnaire was replied by 300 novice teachers, some of whom participated in the PDS program and others who did not. Findings indicate that the relationship between teachers' sense of self-efficacy and their attitudes towards the teaching profession was partially mediated by: applying constructivist pedagogical practices; matching to differences between learners; collaboration between fellow teachers; accountability; planning and teaching management; and academy-community relationships. Participation in a PDS program was not found as a moderator variable for this relationship, but novice teachers who participated in this program had a significant higher sense of self-efficacy and more positive attitudes towards the teaching profession. Findings are important for designing novice teacher training programs with an emphasis on the implementation of specific pedagogical practices.

Cognitive and psychomotor are two aspects that play an important role in children’s development, especially at the pre-school age. This study aims to create and test products in the form of learning methods with song and movement to improve children's cognitive and psychomotor aspects. This research is a research and development using 4D theory from Thiagarajan, Semmel, and Semmel. There are four phases in this research, namely the define phase, product design, product development, and dissemination. Data analysis used in this study was a qualitative and quantitative approach using instruments in the form of questionnaires, product validation sheets, and learning observation sheets. The collected data is then analyzed using two analytical techniques: (1) qualitative data with content analysis techniques and (2) quantitative data analyzed statistically with the help of SPSS. The results showed that this learning method was proven to have a level of validity, practicality, and effectiveness above the standard to improve children’s cognitive and psychomotor aspects.

This study investigated student teachers’ teaching self-efficacy level and factors that predict it (using five-factor mentoring model). Two hundred and ten third and fourth-year student teachers (N=100/N=110; 93.8% females) were involved in the study and asked to complete a self-report questionnaire. The “Mentoring for Effective Primary Teaching” instrument and “Teachers' Sense of Efficacy Scale” were used to collect the data. Findings indicated that higher levels of student teachers' self-efficacy are positively associated with the level of mentoring experience during the teaching practicum. The results found that fourth-year students reported significantly higher levels of teaching self-efficacy than third-year students. This study reported that there is a significant mean difference in student teachers’ self-efficacy beliefs in terms of having parents in the teaching profession. A multiple regression found that mentor teachers’ personal attributes are the best predictor of student teachers' teaching self-efficacy beliefs.

Competent instructors need to have the skills, abilities, and competencies to perform tasks effectively, which will affect student learning achievement. This study is guided by the theory of Boyatzis developed by Spencer and Spencer. The Iceberg Competency Model was used as a guideline to identify the competency elements of educators from the agricultural stream in vocational colleges (KV). This research study aims to explore and identify the existing competency elements of agricultural educators in KV. This study used a study population comprising 243 respondents of agricultural educators in KV. To answer the research question, the data analysis was done by Partial Least Squares - Structural Equation Modeling (PLS-SEM). This study is a study built to observe the relationship between the latent constructs studied. These constructs consisted of exogenous and endogenous constructs. In this study, exogenous constructs comprised value constructs, social roles, self-image, motives, traits and constraints. At the same time, endogenous constructs involved constructs of skills and knowledge. To ensure that the construct of this study gives meaning to the reflective measurement model, it was evaluated based on internal consistency reliability and validity. Regarding the framework, some indicators that did not qualify were dropped based on factor loading and average variance extracted (AVE). From the analysis conducted, 16 indicators were dropped since they did not meet PLS-SEM requirements. The total number of items retained was 71 indicators. At the final stage of this study, the evaluation model was implemented to form a framework involving the evaluation of the constructs linked to each other.

COVID-19 and the expansion of distance learning pose new challenges to the educational system. Soft skills are imperative in this context, for children's effective and adaptive learning. The following study aims to discover teachers' representations by identifying their common conceptual framework of soft skills in primary school. Semi-structured interviews were conducted with teachers. The teachers' comments helped identify and define a framework of soft skills that would help children learn effectively. The results illustrate that the lack of practice of soft skills activities depends on the teachers' perceptions of the importance of their role in transmitting disciplinary knowledge. The study concluded that the lack of a clear and shared vision of soft skills influences the representations and practice of teachers.

Education delivers systematic instruction so effective learning acquisition may take place. It molds students into holistic well-being to contribute to various industries; hence, relevant competencies are developed. Strengthening education significantly encompasses the production of formfitting and distinct instructional materials to invite a sequential way of presenting quality instruction. This research is focused on knowing the effectiveness of the modules developed in Human Resource Management for Filipino business students. Specifically, it is developmental research and utilizes a pretest and post-test control group design. Numerical data were supported by phenomenological interviews, strengthening the study's results. It involved 80 college students classified as the experimental and control group. Moreover, the interview includes 10 participants. Findings reveal that utilizing the modules realized the increase in performance of the experimental group due to their exposure to the materials. However, one of the pitfalls has been revealed in utilizing self-directed learning material; thus, academic performance will only improve if students are organized to set their own goals and learning pace. Using outcomes-based instructional materials leads to substantiating learning, effectively enticing learners' interest. It maximizes students' motivation and participation since topics are well-planned and designed comprehensively. The materials are an essential tool in inviting the enthusiasm of business students to engage in learning. These are valuable means to encourage independent learning without sacrificing the competencies to be learned and applied by the learners.

The world eagerly anticipates advancements in AI technologies, with substantial ongoing research on the potential AI applications in the domain of education. The study aims to analyse publications about the possibilities of artificial intelligence (AI) within higher education, emphasising their bibliometric properties. The data was collected from the Scopus database, uncovering 775 publications on the subject of study from 2000 to 2022, using various keywords. Upon analysis, it was found that the frequency of publications in the study area has risen from 3 in 2000 to 314 in 2022. China and the United States emerged as the most influential countries regarding publications in this area. The findings revealed that “Education and Information Technologies” and the “International Journal of Emerging Technologies in Learning” were the most frequently published journals. “S. Slade” and “P. Prinsloo” received the most citations, making them highly effective researchers. The co-authorship network primarily comprised the United States, Saudi Arabia, the United Kingdom, and China. The emerging themes included machine learning, convolutional neural networks, curriculum, and higher education systems are co-occurred with AI. The continuous expansion of potential AI technologies in higher education calls for increased global collaboration based on shared democratic principles, reaping mutual advantages.

The present study aimed to improve the speaking skills of university students at the B1 level who presented limitations in their oral competence. An educational methodology based on designing and implementing an application adapted to the Common European Framework of Reference was developed and applied to boost language performance. A case study was used to conduct the two stages of this research; the former had to do with a control group where intervention was carried out using non-probabilistic sampling with students of the Computing Faculty; a pretest was applied to test the knowledge acquired in their classroom sessions during the first quarter in 2020. The second process was tracking an experimental group, which was assessed after implementing the developed methodology using the app "4skillsweb". A posttest was used to evidence learners' progress during the COVID-19 lockdown, and the results showed improved oral competence in aspects such as grammar and vocabulary, discourse management, pronunciation, and interactive communication, with about 95% confidence in its validation. A qualitative-quantitative methodology was used to determine the influence of the English app. A t-students test was implemented to corroborate the data analysis taken by both groups through SOFTWARE JMP v 11.0.0G.