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The purpose of this paper is to explore how the graduate assistants (GAs) are inducted into the system and ethos of the institutions of higher education (IHE) in Eritrea. The paper serves in the purpose of creating more conducive and supportive work environment in IHE facilitating the socialization of junior faculty members to the culture, standards and system of the institutions.

The research adhered a combined approach of quantitative and qualitative research methods. Data were gathered through a Likert scale questionnaire and in-depth interviews. The study was conducted in seven IHE involving 165 participants.

The GAs’ knowledge of job description, access to institutional information, sharing of resources, the quality of guidance and support provided, supervised teaching and feedback are discussed in detail. Results revealed that the GAs shoulder vital responsibilities but they receive poor induction at individual and institutional levels. GAs complain for lack of job description clarity and lack of transparent institutional communication at work. Holding first degree, GAs teach senior courses without any prior induction, pedagogic trainings and unsupervised. The GAs are recruited on the basis of the colleges’ long-term staff development plan, but little is done.

Despite their academic rank, the GAs represent 64 percent of the national academic staff (ADF, 2010). Creating conducive work atmosphere for the junior faculty members in the institutions is a long-term investment on institutional capacity building and quality assurance of the institutions’ performance.

Induction of the newly recruited junior faculty members to the social, professional and the institutional ethos is a socialization process that would minimize the professional isolation and inefficiency of new recruits.

The purpose of this paper is to describe a thriving partnership between Frostburg State University and the Garrett County Public Schools that aims to improve teacher effectiveness and retention through the implementation of a robust induction program. The initiative includes sustained, strategic mentoring; extensive professional development; and validated, competency-based microcredentials aligned to high-leverage practices.

The study included surveys and structured interviews with teaching fellows and their instructional coaches.

Having ample support and mentoring can make a significant difference for novice teachers. Partnerships between universities and local school districts can provide this critical support.

A limitation that cannot be ignored is the small number of participants in this program, all of whom are teaching in a rural school system. However, researchers working with larger school districts would add valuable knowledge to the field of study.

This paper includes implications for designing new induction programs or improving existing ones.

Mentoring, a major component of high-quality induction programs, has the potential of providing important benefits to beginning teachers including increased motivation, self-confidence, growth in professional identity, and reduced stress and anxiety.

As school systems are struggling to retain qualified teachers, high-quality induction programs are necessary.

The purpose of this paper is to provide an analysis of the performance of a new five-phase doubly fed induction generator (DFIG).

This paper presents the results of a research work related to five-phase DFIG framing, including the development of an analytical model, FEM analysis as well as the results of laboratory tests of the prototype. The proposed behavioral level analytical model is based on the winding function approach. The developed DFIG model was used at the design stage to simulate the generator’s no-load and load state. Then, the results of the FEM analysis were shown and compared with the results of laboratory tests of selected DFIG operating states.

The paper provides the results of analytical and FEM simulation and measurement tests of the new five-phase dual-feed induction generator. The use of the MATLAB Simscape modeling language allows for easy and quick implementation of the model. Design assumptions and analytical model-based analysis have been verified using FEM analysis and measurements performed on the prototype. The results of the presented research validate the design process as well as show the five-phase winding design advantage over the three-phase solution regarding the control winding power quality.

The main disadvantage of the winding function approach-based model development is the simplification regarding omitting the tangential airgap flux density component. However, this fault only applies to large airgap machines and is insignificant in induction machines. The results of the DFIG analyses were limited to the basic operating states of the generator, i.e. the no-load state, the inductive and resistive load.

The novel DFIG with five phase rotor control winding can operate as a regular three-phase machine in an electric power generation system and allows for improved control winding power quality of the proposed electrical energy generation system. This increase in power quality is due to the rotor control windings inverter-based PWM supply voltage, which operates with a wider per-phase supply voltage range than a three-phase system. This phenomenon was quantified using control winding current harmonic analysis.

The paper provides the results of analytical and FEM simulation and measurement tests of the new five-phase dual-feed induction generator.

The purpose of this paper is to explore board functions and their location in family firms.

Through structured induction in a four-case study of medium-sized Swedish family firms, the authors demonstrate that board functions can be located in other arenas than in the common board and suggest propositions that explain their distribution.

(1) The board is but one of several arenas where board functions are performed. (2) The functions performed by the board vary in type and emphasis. (3) The non-family directors in a family firm serve the owners, even sometimes governing them, in what the authors term “bidirectional governance”. (4) The kin strategy of the family influences their governance. (5) The utilization of a board for governance stems from the family (together with its constitution, kin strategy and governance strategy), the board composition and the business conditions of the firm.

Being a case study the findings are restricted to concepts and theoretical propositions. Using structured induction, the study is not solely inductive but still contains the subjectivity of induction.

Governance agents should have an instrumental view on the board, considering it one possible governance arena among others, thereby economizing on governance.

The institutional pressure toward active boards could paradoxically reduce the importance of the board in family firms.

The board of a family company differs in its emphasis of board functions and these functions are performed with varying emphases in different governance arenas. The authors propose the concept of kin strategy, which refers to the governance importance of the structure of the owner and observations on bi-directional governance, indicating that the board can govern the owners.

This paper aims to determine the impact of mentorship on the development of self-directedness among beginner teachers in their initial years of teaching.

The researcher adopted a positivist paradigm to explore the situation of concern. Quantitative research was conducted, involving the collection and analysis of numerical data. Two closed-ended structured questionnaires were utilised, derived from the 40-item self-directed learning readiness scale (SDLRS) developed by Fisher and King, and a pre-determined questionnaire by Glazerman focused on the first-year teaching experience, induction and mentoring of beginner teachers.

Beginner teachers merely relying on the knowledge obtained from their studies is insufficient to achieve a satisfactory level of self-directedness when starting a teaching career. Most beginner teachers faced significant challenges in their early years of teaching due to the absence of mentoring support. In addition, most indicated that they resume their teaching duties and rely on their district for general support, guidance and orientation. Finally, the results have shown that mentoring positively impacts beginner teachers’ self-directedness.

The first limitation was that this study was narrowed to one South Africa University part-time B.Ed honours students working as beginner teachers in different provinces at primary and secondary schools. As a result, the findings of this research might be interpreted by some critics as one-sided and not representative of the views of most beginner teachers in South Africa who are working. The second limitation of this study is the sample size. In this study, 222 responses were received. As a result, the findings of this research might be considered not representative of the target sample size.

The presence and effective implementation of mentoring programmes in schools can positively impact beginner teachers' professional development and retention during their first years of teaching.

We contend that our research holds significance for international readership as it aims to garner attention towards potential research endeavours in diverse settings concerning mentorship programs for beginner teachers, specifically promoting self-directed learning. Our research offers opportunities to compare our findings with studies conducted in more comprehensive, comparative contexts and foster research possibilities in broader, contrasting contexts.

Based on the findings of this research, the availability and effective use of mentoring programmes would significantly affect beginner teachers' self-directedness, improve their retention rate and alleviate their teaching challenges. This study was the first research on the perceptions of the influence of mentoring on the self-directedness of beginner teachers.

This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.

This research study aimed to collect feedback from the learners on the usefulness and effectiveness of the online counselling sessions organised during COVID-19 lockdown through online platforms to provide academic support to the learners.

The link of a questionnaire designed in a Google Form sent to IGNOU learners of the January 2020 session enrolled under the jurisdiction of IGNOU Regional Centre (RC) Chandigarh through email as well as SMSs. Total responses received were 487, out of which 445 responses were complete, roughly 8% of the total registered learners during the January 2020 session. The questionnaire contained questions on a cross-section of online counselling issues, besides questions on the learners' profile.

Majority of the learners were satisfied with the input provided while organising online counselling sessions during COVID-19 lockdown in India. A significant proportion of learners (88%) used smartphones for attending counselling sessions. Facebook page of the RC rated as a relatively better option than other online platforms. However, more than 50% of learners faced Internet connection problems and found them a significant hurdle for smooth viewing of online counselling sessions. The proportion of learners who encountered difficulties in handling electronic devices was insignificant. The learner's feedback on many attributes such as usefulness and effectiveness of the online counselling sessions, interaction with the academic counsellors, e-content used in the counselling was significantly positive. A significant proportion of the learners have reported that face to face counselling could be replaced with online sessions in future, considering its flexibility in terms of place and schedule of learning and availability of recording of such sessions.

The research study was conducted under Chandigarh region of IGNOU which has a predominantly urban population. Thus the results of the study are limited to Chandigarh region and the region with similar socio-economic settings. This certainly limits the scope of the study.

The study certainly provides valuable feedback to the ODL policymakers to consider replacing face-to-face counselling with an online mode in a phased manner. Online counselling options will be highly cost-effective, easily manageable, and provide flexibility for learners and resource persons, resulting in addressing learners' non-attendance related issues in the face-to-face counselling sessions.

In the analysis of our finding it is clearly stated that the Internet connectivity and availability of electronic devices is an important issue to provide online counselling support to socially and economically disadvantaged groups. Therefore, the research study also identifies such social issues as a major challenge for providing online counselling support to the learners.

This is an original empirical research study and data collected is used in the analysis for the first time. This analysis is based on the feedback gathered from the learners registered at IGNOU RC Chandigarh during the January 2020 session. The data and derived results not used in any other study.

Rough set theory is a simple and potential methodology in extracting and minimizing rules from decision tables. Its concepts are core, reduct and discovering knowledge in the form of rules. The decision rules explain the decision state to predict and support the new situation. Initially it was proposed as a useful tool for analysis of decision states. This approach produces a set of decision rules involves two types namely certain and possible rules based on approximation. The prediction may highly be affected if the data size varies in larger numbers. Application of Rough set theory towards this direction has not been considered yet. Hence the main objective of this paper is to study the influence of data size and the number of rules generated by rough set methods. The performance of these methods is presented through the metric like accuracy and quality of classification. The results obtained show the range of performance and first of its kind in current research trend.

The purpose of this paper is to examine a solution strategy for coupled nonlinear magnetic-thermal problems and apply it to the heating process of a thin moving steel sheet. Performing efficient numerical simulations of induction heating processes becomes ever more important because of faster production development cycles, where the quasi steady-state solution of the problem plays a pivotal role.

To avoid time-consuming transient simulations, the eddy current problem is transformed into frequency domain and a harmonic balancing scheme is used to take into account the nonlinear BH-curve. The thermal problem is solved in steady-state domain, which is carried out by including a convective term to model the stationary heat transport due to the sheet velocity.

The presented solution strategy is compared to a classical nonlinear transient reference solution of the eddy current problem and shows good convergence, even for a small number of considered harmonics.

Numerical simulations of induction heating processes are necessary to fully understand certain phenomena, e.g. local overheating of areas in thin structures. With the presented approach it is possible to perform large 3D simulations without excessive computational resources by exploiting certain properties of the multiharmonic solution of the eddy current problem. Together with the use of nonconforming interfaces, the overall computational complexity of the problem can be decreased significantly.