The Level of Decision-Making,Perceived Influence,and Perceived Satisfaction of Faculty and Their Impact on Student Retention in Community Colleges

ABSTRACT

This study expanded on previous models that looked primarily at student and support factors related to student retention and examined other stakeholder group functions not previously reviewed in relation to student retention. The research question assumed that greater faculty participation in campus decision-making and faculty satisfaction would have been associated with a higher campus student retention rate. The non-experimental retrospective design examined the unanalyzed 2007 community college (CC) Changing Academic Profession (CAP) survey in relation to campus retention rates. The CAP captured faculty perceptions of whether faculty or non-faculty entities were the primary influence on decisions regarding academic matters, as well as a rating of faculty satisfaction. Analysis indicated that CC faculty rated their participation in campus decision-making versus non-faculty entities similarly to the ratings of faculty who had completed the CAP at four-year institutions. When compared with the 2007 retention rate per campus, only faculty job satisfaction was statistically significantly positively associated with student retention. Recommendations for future research include continuing to look at retention as an outcome of a multi-factorial model involving all campus stakeholders, and more research with retention as the outcome.     

Developing the capacity of farmers to understand and apply seasonal climate forecasts through collaborative learning processes

Purpose: This paper documents and evaluates collaborative learning processes aimed at developing farmer’s knowledge, skills and aspirations to use seasonal climate forecasting (SCF). Methodology: Thirteen workshops conducted in 2012 engaged over 200 stakeholders across Australian sugar production regions. Workshop design promoted participant interaction, stimulated discussion, collected farmer experience of regional climate variability, improved understanding of climate drivers and increased participant skill in interpreting SCF linked to management decisions. Post-workshop surveys collected quantitative and qualitative data for statistical analysis and manual thematic coding. Findings: Over 68% of participants identified improved decision-making and risk reduction as the main benefits of using SCF products. High median self-evaluation ratings for gains in skills, knowledge and understanding of climate forecasts and perceived benefits in using climate forecasts in on-farm decision-making were found across stakeholder groups. No significant differences in self-evaluation rating gains were found between farmers, extension officers and millers, suggesting extension officers are less than optimally informed and skilled to support farmers in understanding and applying SCF. Practical Implications: Developing the capacity of extension officers to understand and interpret SCF may increase adoption of improved climate risk management in farmer networks. Theoretical implications: Collaborative learning activities in the agriculture sector, designed using experiential learning principles and evaluated using a logical framework, provide a robust model for improving the capacity of farmers to manage climate risk. Originality/Value: This paper contributes an example of evaluation of collaborative learning in facilitated agriculture climate risk workshops and discusses the value of learning through small group discussion.     

Data use by teachers: the impact of motivation,decision-making style,supportive relationships and reflective capacity

There is a growing expectation that schools should systematically collect and analyse data as a point of departure for decisions. However, research shows that teachers themselves are less convinced that they need to base their decisions on data, as they mainly rely on their intuition and experience. This article examines the extent to which teachers use data as a source of information for decisions at classroom level and what motivates them to use these data. We will also look at what impact the teacher’s decision-making style, supportive relationships and the reflective capacity of the school team have on teachers’ motivation for using data. Our research data was collected by means of an online survey of 408 teachers in 52 primary schools in Flanders. The results demonstrate that the quality of teachers’ motivation for using data is a key element in promoting data use in schools. Teachers who feel autonomously motivated will make greater use of data than teachers with a controlled motivation. We found that the use of a rational decision-making style by teachers, supportive relationships within the school and the reflective capacity of the school team all lead to an increase in teachers’ autonomous motivation for using data.     

Teachers,schools and using evidence: Considerations of preparedness

Despite assessment being viewed as integral to practice, there are questions about schools’ preparedness to engage in this process. Data from three studies conducted in New Zealand primary schools explore whether use of student achievement data is part of the professional canon or skill set. (1) When implementing new literacy materials, evidence of need did not necessarily inform choice nor was achievement data used to make decisions about effectiveness of materials or use. (2) When a classroom initiative designed to achieve literacy goals was implemented, few schools collected evidence adequate for its evaluation. In both cases, practitioners appeared to hold a theory about acceptable evidence at variance with current policy expectations. Further, they may have lacked necessary skills. (3) Teachers, with practice, learned to interpret data accurately but this skill did not relate to student progress. A high level of pedagogical content knowledge may be needed to relate achievement information to teaching practice.     

Professionalizing in- service teachers’ focus on technological pedagogical and content knowledge

In Ethiopia, primary school teachers of science and mathematics are encouraged to integrate Information and Communication Technology (ICT) into their teaching as a means to improve the quality of education. However, there has not been the same emphasis placed on providing professional learning opportunities for teachers on how to use ICT in their teaching. The present study investigated how a group of practising primary school science and mathematics teachers developed the skills needed to integrate ICT into their teaching. The study employed a combination of qualitative and quantitative research methods within an action research approach. The teachers took part in activities from a Technological Pedagogical and Content Knowledge (TPACK) based professional learning workshop, including designing lessons, classroom instruction, and reflection activities in teams. A lesson evaluation sheet, questionnaire, observation checklist, and logbook were used to gather data. The results showed that the teachers acquired an improved competency to integrate available ICT into their teaching through the intervention activities.     

Sorting pupils into their next educational track: How strongly do teachers rely on data-based or intuitive processes when they make the transition decision?

For many years, teachers’ intuitive evaluations of pupils’ competences was considered to be a solid base for decisions; it is only recently that teachers have been expected more and more to use data. We state that insights on intuitive and data-driven approaches need to be integrated to understand and support informed, professional decisions in education. Starting from an integrated framework we studied teachers’ decision process regarding the transition of 30 pupils during their last year of primary education within a case study design. Results describe different approaches to decision-making. Some teachers greatly rely on intuitive processes when they ultimately make the decision, even if data was collected. Other teachers combine and weigh information deriving from deliberate processes of data use and from intuitive recognition before they decide. Implications for theory and practice are explained.     

Instructional Design Project Success Indicators: An Empirical Basis

The success of instructional design and development (ID) projects is typically evaluated using an evaluation framework, the most popular being Kirkpatrick's (1967) four levels of evaluation. In spite of their widespread use, there does not appear to be an empirical basis for these frameworks. Do the popular evaluation frameworks encompass the major indicators of successful ID projects? Are the success indicators the same for all the various stakeholders involved in ID projects? The purpose of this study was: 1) to establish empirically a set of ID project success indicators, and 2) to determine if stakeholder perspective influences the importance attached to those indicators. Seven ID project success indicators were identified, suggesting that the common evaluation models are incomplete. A two-way ANOVA revealed no significant differences among the stakeholder groups in terms of the importance they attached to the success indicators overall. However, a significant difference was found among the success indicators in terms of their importance to ID project success. Also, there was a significant interaction between certain stakeholder groups and certain ID project success indicators. Implications of the findings and directions for future research are discussed.     

‘It’s small steps,but that leads to bigger changes’: evaluation of a nurture group intervention

This article presents the results of a small-scale research project that aimed to evaluate the effectiveness of a part-time nurture group recently established in one primary school. Qualitative interviews were used to gather staff, pupil and parental perceptions about the nurture group. These focused not only on what difference the nurture group was making to the pupils concerned but also on views about what factors contributed to noted changes. All stakeholder groups identified areas of development for nurture group pupils. These included improved social skills, growth in personal confidence, greater engagement with academic tasks and fewer incidences of undesirable behaviour. The evidence suggests that the nurture group offered an effective way of supporting the social, emotional and behavioural skills of a group of ‘at-risk’ pupils. Nine practices thought to be important in achieving these outcomes are highlighted.     

CIPP模式下高校决策评价的现实困局与破局之策

高校决策及其评价直接影响着高校的立德树人效果及人才培养质量,但我国高校目前出现了对决策前、决策中和决策后评价不足的问题,主要表现为决策目标模糊、决策支持失职,决 策权力集中、决策流程简陋,决策执行低效、决策改进缺位。通过将CIPP决策评价模式引入高校决策评价,形成高校决策流程体系,同时构建以数据决策评价、全员决策评价、分类决策评价、主动决策评价、文化决策评价为主要内容的高校决策评价体系。高校决策流程体系和高校决策评价体系同向同行,形成决策有数据支持、教师和学生在决策中享有话语权、决策评价流程可操作、决策评价常态化、评价结果得到有效利用的高校决策和谐局面。     

Identifying Non-Sustainable Courses of Action: A Prerequisite for Decision-Making in Education for Sustainable Development

Students are faced with a multitude of decisions as consumers and in societal debates. Because of the scarcity of resources, the destruction of ecosystems and social injustice in a globalized world, it is vital that students are able to identify non-sustainable courses of action when involved in decision-making. The application of decision-making strategies is one approach to enhancing the quality of decisions. Options that do not meet ecological, social or economic standards should be excluded using non-compensatory strategies whereas other tasks may require a complete trade-off of all the evidence, following a compensatory approach. To enhance decision-making competence, a computer-based intervention study was conducted that focused on the use of decision-making strategies. While the results of the summative evaluation are reported by Gresch et al. (International Journal of Science Education, 2011), in-depth analyses of process-related data collected during the information processing are presented in this paper to reveal insights into the mechanisms of the intervention. The quality of high school students’ (n?=?120) metadecision skills when selecting a decision-making strategy was investigated using qualitative content analyses combined with inferential statistics. The results reveal that the students offered elaborate reflections on the sustainability of options. However, the characteristics that were declared non-sustainable differed among the students because societal norms and personal values were intertwined. One implication for education for sustainable development is that students are capable of reflecting on decision-making tasks and on corresponding favorable decision-making strategies at a metadecision level. From these results, we offer suggestions for improving learning environments and constructing test instruments for decision-making competence.     

科学管理与院校研究

院校研究代表了管理决策的科学部分,是提高高校科学管理水平的一个有效途径。作为一种特定的研究范式和工作模式,系统收集数据,科学分析数据,为学校管理提供决策支持,是院校研究的三个基本特征。在我国发展院校研究,必须树立科学发展观,在高校中大力倡导科学管理;依靠国家和社会的力量,建立具有统一统计口径的数据库,实现数据资源共享;加快院校研究人员的培养,促使大多数高教研究所(室)转变功能,将院校研究作为主要的工作任务。     

Effect size, practical importance, and social policy for children

Real decisions for real children are influenced by the papers developmentalists write, regardless of whether we ever intended our papers to be used in the policy arena. Yet most social scientists seldom analyze data in ways that are most useful to policymakers. The primary purpose of this paper is to share three ideas concerning how to evaluate the practical importance of a finding or set of findings. First, for research to be most useful not only in the policy arena but also more generally, significance tests need to be accompanied by effect size estimates. The practical importance of an effect size depends on the scientific context (i.e., measurement, design, and method) as well as the empirical literature context. Second, researchers need to use all existing data when weighing in on a policy debate; here, meta-analyses are particularly useful. Finally, researchers need to be careful about embracing null or small findings, because effects may well be small due to measurement problems alone, particularly early in the history of a research domain.     

Evaluation in primary prevention: an obligation, I. The obstetrical point of view

Evaluation of research in primary prevention is often complicated. Various objections and difficulties are discussed: imprecision or lack of practical definition of the child abuse syndrome, definition of primary prevention, lack of epidemiological data, and the existence of ethical problems. Obstetrical models of evaluation are proposed: evaluation of screening methods, postpartum follow-up and contraception, action against prematurity, and unfollowed pregnancies. Results of a four-year antenatal program are presented as indicators and may be served to determine the efficiency of preventive action. Therefore, evaluation of antenatal prevention is possible for at-risk parents.     

Assessment practices of educational psychologists in Aotearoa/New Zealand: from diagnostic to dialogic ways of working

Psychologists working in education in Aotearoa/New Zealand work in diverse educational environments making day-to-day decisions informed by evidence-based practice. As a relatively small professional group with a complex work programme, they contribute to the assessments and decision-making processes of children and young people across multiple settings. This paper explores the results of a small-scale national survey of psychologists working in education through the Ministry of Education. Results showed that these psychologists use at least 25 assessment methods including assessments within behavioural, emotional, social, and cognitive domains. The assessment data are used for three primary reasons: to understand the child, inform decision-making, and contribute to discussions around appropriate interventions. The use of interviews, observation and collaboration were identified as key to their assessment practices, illustrating a preference towards more dialogic and ecological ways of working. While the majority used assessment practices that align with facilitating the learning of the child across contexts, the psychologists reported that ethical dilemmas arose when they were expected to be more diagnostic in their focus.     

School-based management committees in low-income countries: Can they improve service delivery?

With the advent of school-based management, citizen committees in low-income countries or areas are often expected to oversee the functioning of schools, health centres, and other community resources. However, studies of their effectiveness show mixed results. Though members of such committees may be able to repair buildings, they often cannot monitor the quality of instruction or of medical services. This article draws on psychological research to predict the performance of such committees, given their levels of education, group dynamics, and complexity of decisions. The research suggests that committees of the very poor may lack the time and resources to make good decisions; they also lack the experience with quality schools to accurately evaluate service delivery. Thus, donors and governments must understand better the decision-making dilemmas of people with limited literacy. Targeted research may clarify the chains of causality leading from management committee decisions to service delivery and may help improve services to the poor.     

Using data for decision-making: perspectives from 16 principals in Michigan, USA

In response to the vast amounts of data associated with the accountability movement and the rhetoric of data-informed decision-making, we interviewed 16 principals to find out what streams of data they used and what decisions they made by using the data. We found that: (a) student achievement data are predominantly used to the extent of neglecting other streams of data such as student and community background data and school process data; (b) student achievement data are used more for accountability purposes—for assessing “of” rather than “for” the learning; (c) different streams of data are rarely used together to derive rich meaning for decision-making; and (d) school districts differ in the extent to which their principals use data to improve curriculum and instruction. The study pointed both to the challenges and to the opportunities of making data-informed decisions to improve our schools.     

Student support in e-learning courses in higher education – insights from a metasynthesis “A pedagogy of panic attacks”

Abstract

E-learning includes the use of the internet for accessing learning materials, interacting with learning content and with instructors and students to obtain support during the learning process in order to gain knowledge and personal meaning and to grow. It occurs when students have electronic access to resources and where they are in regular online contact with their peers and tutors. The primary objective of the metasynthesis was to analyse primary qualitative research studies on learner support in online courses to establish a guideline for e-learning support.

The metamethod entailed thoughtful examination of the manner in which the methodological approach was used to gather and interpret the data. The metadata analysis involved reinterpretations of the actual findings from the primary qualitative studies. Lastly, the metatheory consisted of an examination of theories leading the primary researchers’ topics, frameworks and research questions.

Conducting a metastudy from a constructivist perspective as in this research meant that I functioned as the interpreter of primary research studies, translating what has been written by other researchers for the purpose of revealing similarities and differences, and developing practice guidelines or theoretical concepts on a specific phenomenon. I identified three main themes regarding student support in e-learning in higher education, technical problems (infrastructure and access), a panic attack (pedagogy) and a human contact (human factors).     

Young people's comparisons of cross-gender and same-gender bullying in British secondary schools

Background: Data-based decision-making in education often focuses on the use of summative assessment data in order to bring about improvements in student achievement. However, many other sources of evidence are available across a wide range of indicators. There is potential for school leaders, teachers and students to use these diverse sources more fully to support their work on a range of school improvement goals.

Purpose and sources of evidence: To explore data-based decision-making for school improvement, this theoretical paper discusses recent research and literature from different areas of data use in education. These areas include the use of formative assessment data, educational research study findings and ‘big data’. In particular, the discussion focuses on how school leaders and teachers can use different sources of data to improve the quality of education.

Main argument: Based on the literature reviewed, an iterative model of data use for school improvement is described, consisting of defining goals for data use, collecting different types of data or evidence (e.g. formal data, informal data, research evidence and ‘big data’), sense-making, taking improvement actions and evaluation. Drawing on the literature, research insights are discussed for each of these components, as well as identification of the research gaps that still exist. It is noted that the process of data use does not happen in isolation: data use is influenced by system, organisation and team/individual level factors.

Conclusions: When it comes to using data to improve the quality of teaching and learning, it is evident that some of the most important enablers and barriers include data literacy and leadership. However, what is less well understood is how we can promote the enablers and remove the barriers to unlock, more fully, the potential of data use. Only then can data use lead to sustainable school improvement.     

Co-constructing distributed leadership: district and school connections in data-driven decision-making

The purpose of this paper is to examine leadership practices in school systems that are implementing data-driven decision-making employing the theory of distributed leadership. With the advent of No Child Left Behind Act of 2001 (NCLB) in the US, educational leaders are now required to analyse, interpret and use data to make informed decisions in all areas of education, ranging from professional development to student learning. The emphasis on data-driven decision-making practices to bring about improved student outcomes is relatively a new feature of the education reform landscape and thus requires educators to learn and develop new competences. Leadership is one crucial bridge that can support and direct these new learning efforts. Using qualitative data from a case study of four urban school systems, the authors’ findings indicate that: (1) leaders at all levels co-constructed the vision and implementation of productive data-driven decision-making by creating an ethos of learning and continuous improvement rather than one of blame; (2) in order to give data relevance, leaders also distributed decision-making authority in a manner that empowered different staff members to utilise their expertise; and (3) the school systems directed their resources on building human and social capacity mainly by focusing on modelling and knowledge brokering amongst their staff. The paper concludes with a discussion of research and policy implications based on the findings.