Maximizing the Benefits of Collaborative Learning in the College Classroom

abstract: This study tested the effects of two kinds of cognitive, domain-based preparation tasks on learning outcomes after engaging in a collaborative activity with a partner. The collaborative learning method of interest was termed "preparing-to-interact," and is supported in theory by the Preparation for Future Learning (PFL) paradigm and the Interactive-Constructive-Active-Passive (ICAP) framework. The current work combined these two cognitive-based approaches to design collaborative learning activities that can serve as alternatives to existing methods, which carry limitations and challenges. The "preparing-to-interact" method avoids the need for training students in specific collaboration skills or guiding/scripting their dialogic behaviors, while providing the opportunity for students to acquire the necessary prior knowledge for maximizing their discussions towards learning. The study used a 2x2 experimental design, investigating the factors of Preparation (No Prep and Prep) and Type of Activity (Active and Constructive) on deep and shallow learning. The sample was community college students in introductory psychology classes; the domain tested was "memory," in particular, concepts related to the process of remembering/forgetting information. Results showed that Preparation was a significant factor affecting deep learning, while shallow learning was not affected differently by the interventions. Essentially, equalizing time-on-task and content across all conditions, time spent individually preparing by working on the task alone and then discussing the content with a partner produced deeper learning than engaging in the task jointly for the duration of the learning period. Type of Task was not a significant factor in learning outcomes, however, exploratory analyses showed evidence of Constructive-type behaviors leading to deeper learning of the content. Additionally, a novel method of multilevel analysis (MLA) was used to examine the data to account for the dependency between partners within dyads. This work showed that "preparing-to-interact" is a way to maximize the benefits of collaborative learning. When students are first cognitively prepared, they seem to make the most efficient use of discussion towards learning, engage more deeply in the content during learning, leading to deeper knowledge of the content. Additionally, in using MLA to account for subject nonindependency, this work introduces new questions about the validity of statistical analyses for dyadic data.Dissertation/ThesisPh.D. Educational Psychology 201

Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

Chapter 1 : Learning Online

The OTiS (Online Teaching in Scotland) programme, run by the now defunct Scotcit programme, ran an International e-Workshop on Developing Online Tutoring Skills which was held between 8–12 May 2000. It was organised by Heriot–Watt University, Edinburgh and The Robert Gordon University, Aberdeen, UK. Out of this workshop came the seminal Online Tutoring E-Book, a generic primer on e-learning pedagogy and methodology, full of practical implementation guidelines. Although the Scotcit programme ended some years ago, the E-Book has been copied to the SONET site as a series of PDF files, which are now available via the ALT Open Access Repository. The editor, Carol Higgison, is currently working in e-learning at the University of Bradford (see her staff profile) and is the Chair of the Association for Learning Technology (ALT)

Peer Coaching Effects on Targeted Teaching Behaviors and Teacher Self-Efficacy in an Early Field Experience

Abstract This study examined the effect of peer coaching on the development of effective teaching behaviors and teacher self-efficacy of education students in an early field experience. The convenience sample (N = 99) included undergraduate students enrolled in a required foundational course in special education at a large public university in the southern United States. Training methods included online video instruction on targeted effective and ineffective teaching behaviors. The effective behaviors included (a) established student learning objective prior to beginning a lesson, (b) explained and/or modeled how pupil can discover answer or solve a problem, (c) checked for understanding by asking content-related questions or asked pupil to verbally explain/demonstrate answer/concept, (d) academic or behavior specific praise statement. The ineffective behaviors included (a) began activity without stating student learning-objective, (b) ask binary content related question without follow-up probe, and (c) negative comment/feedback considered derogatory. Participants submitted pre-and-post-intervention videos via a web-based storage service. Binomial logistic regression and ANCOVA analyses indicated no statistically significant differences between the treatment and control groups for main effects of peer coaching on the development of the targeted effective teaching behaviors. Additionally, ANOVA analyses indicated no statistically significance between groups on the three subscales of the OSTES. However, frequency of observed effective teaching behaviors increased for both groups in 3 of the 4 targeted effective teaching behaviors. Study participants and public school personnel provided feedback regarding the value and positive impact of the intervention and training on targeted teaching behaviors. Implications and future research are explored

Toward Explaining the Transformative Power of Talk About, Around, and for Writing

This article provides an initial approach for capturing moments of talk about, around, and for writing to explain why writing groups and writing conferences are so often considered “transformative” for the people involved. After describing the widespread and yet disparate transformations so often attributed to collaborative writing talk, I introduce applied conversation analysis (CA) as a method for getting at what is often difficult to identify, document, and explain: the intricacies of moments that underlie, if not directly account for, transformations. At the core of this article, I present a case study of a writer, Susan, and tutor, Kim, and analyze their talk and embodied interactions around writing. In particular, two sequences of their talk—the first an example of “troubles telling,” or attending to a reported trouble (Jefferson, 1981, 1984, 1988) and the second an enactment of humor that names asymmetrical power relations (Holmes, 2000)—illustrate the ways in which building affiliative relationships might allow for naming and poking fun at, if not restructuring, power relations. Further, self-reports from interview data indicate how the occasions of talk between Susan and Kim mark shifts in thinking about themselves, their writing, and their commitments—shifts that can be attributed to their relational, affiliative interactions and that provide supporting evidence for the transformative power of collaborative writing talk

Investigating Individual Differences in the Conceptual Change of Biology Misconceptions Using Computer-Based Explanation Tasks

The current study examined the effects of computer-based self-explanations (i.e., generated by the learner) and instructional explanations (i.e., provided to the learner) on undergraduate biology students’ revision of photosynthesis and respiration misconceptions. Individual differences, particularly students’ prior knowledge, significantly impact the effectiveness of instructional tasks. Oftentimes, an instructional task is effective only for learners at a particular prior knowledge level. Cognitive Load Theory suggests that too much or too little instructional support can overwhelm a learner’s working memory. When used for building knowledge, self-explanations and instructional explanations, like those employed in the current study, both interact with prior knowledge. Prior research has indicated that instructional explanations may only benefit students with low prior knowledge, and self-explanations may only benefit students with high prior knowledge. The current study addressed whether such effects extend to the use of explanation tasks to facilitate knowledge revision, in which existing misconceptions are revised. Four hundred and thirty eight undergraduate major and non-major biology students completed an online activity for course credit. Participants were randomly assigned to one of three conditions (self-explanation, instructional explanation, or no explanation) and then prompted with a set of photosynthesis questions, each of which was followed by their assigned instructional task and a cognitive load measure. One week later, participants returned to the activity to take a posttest. Results indicated students entered the activity with high rates of photosynthesis and respiration misconceptions. Further regression analyses indicated that only self-explanations, not instructional explanations, increased learning compared to no explanations. Trends in effect sizes suggest self-explanations only benefited students with sufficient prior knowledge. Higher cognitive load was associated with less learning in both explanation conditions, but not in the no explanation condition. The current results suggest that self-explanations may effectively promote knowledge revision, assuming students are familiar with the content, while instructional explanations may not foster knowledge revision in a computer-based setting. Implications for adaptive instruction that targets knowledge revision are addressed

Educational issues in introductory tertiary biology

The work presented in this thesis focuses on educational issues in first-year biology courses at university. First-year courses are important because they have the potential to influence student retention and subsequent subject selection choices, as well as learning at higher levels. Further, biology is considered to be an important enabling subject in New Zealand because of the Government's drive towards a biotechnology-based knowledge economy. Specifically, the work in this thesis explores the educational implications of the increasingly diverse academic backgrounds of students entering first-year biology courses on teaching and learning in these courses. A social constructivist view of learning is adopted, in which prior knowledge of the learners is considered to have a significant influence on their learning. The social context of learning interactions also is considered to be important. The research involved three phases: identification of prior knowledge assumed by faculty; identification of actual prior knowledge of students; and the implementation and evaluation of an intervention programme based on concept mapping. In order to investigate faculty assumptions of student prior knowledge, 35 faculty from six New Zealand universities were interviewed. Document analysis and classroom observations provided data triangulation. The findings for this phase of the research suggest that faculty were aware of the diverse prior knowledge of students, and reported a tension between teaching from scratch in order to accommodate those with very limited prior knowledge; and the risk of boring those with more extensive relevant backgrounds. A range of concepts that are not explained during teaching (i.e., concepts it is assumed students understand) were identified, including biology-specific concepts and relevant chemical and mathematical concepts. In the second phase, research findings from phase one were used to develop a prior knowledge questionnaire administered in two successive years to all students enrolled in first-year biology courses at one New Zealand university. Data analysis for this phase suggests that although students with more extensive prior biology study were more likely to have a scientifically acceptable understanding of some key concepts, this was not true of all the concepts that were investigated, including chemical and mathematical concepts. The data also point to differences between what faculty expect students to know, and what students actually know. Furthermore, few students, regardless of the extent of prior biology study, were able to demonstrate understanding of the relationships between important biological concepts. In the third phase of the research, an intervention based on concept mapping was implemented and evaluated. Two of the six weekly tutorial classes associated with two first-year biology courses were used for the purposes of the intervention. The intervention differed from the other concept mapping studies reported in the literature in that its implementation was of long duration, viz., a period of 11 weeks. Students who participated in the intervention reported in 'tutorial experience questionnaires' and subsequent interviews that concept mapping helped them to learn the biology content covered during lectures, and to identify links between concepts. A large proportion of participants indicated that they used concept mapping for biology study outside of the intervention tutorial classes, and in some cases in other courses of study. Classroom management strategies appeared to contribute to the positive views about the use of concept mapping during tutorials. Specifically, the tutor modelled the use of concept mapping, but students were also given opportunities to construct their own maps. The role of the tutor in guiding discussions with students and providing feedback was also viewed as being important. Detailed analysis of course assessment tasks suggests that concept mapping enhanced learning for test questions that require understanding of links between concepts. Where tasks require only the recall of facts, concept mapping does not appear to make a statistically significant difference to student performance. The findings from the concept mapping intervention thus suggest that although concept mapping is a strategy that can be used effectively in tertiary biology tutorial classes, it is more worthwhile if the type of deep learning that is encouraged by the use of concept mapping is also the type of learning required to successfully complete assessment tasks. This raises the issue of whether the type of learning faculty specify in course objectives is the type of learning they actually seek to develop in course delivery and associated assessment regimes

Identifying an appropriate science curriculum for undergraduate nursing in New Zealand

The depth and breadth of science knowledge that is required to educate registered nurses has been the subject of much debate, both nationally and internationally. Central to the debate is the lack of clarity on what science is required for nursing. Nursing students world-wide report anxieties and difficulties with learning science within nursing programmes. It has not been established if science is required for nursing, nor has it been established how science is used by nurses engaged in clinical practice. This research was aimed at examining the use of science in nursing practice and therefore identifying an appropriate undergraduate nursing science curriculum for New Zealand nursing schools. To achieve this aim, a mixed method, interpretive, naturalistic approach has been employed involving interviews, surveys, observation studies and document analysis. The research had four phases; interviews with nine nurse educators and lecturers, written surveys undertaken by 71 registered nurses, observation and in-depth interviews with 17 registered nurses’ in practice across the central and lower North Island, and document analysis. Nurse educators and lecturers were interviewed to gain their perspectives of the role of science in nursing. A Science Attitude and Self-Efficacy (SASE) survey included sections that focused on nurses’ attitudes towards their nursing science courses, attitudes towards science in nursing, and probed their confidence in their own ability to use science in practice. Observations of nurses in their clinical practice were conducted over several hours and the nurses interviewed about their observed actions. The observed nursing actions and espoused science knowledge that were extracted from clinical practice were categorised into science and science-related topics which frame the breadth of content used in nursing practice, and the depth was ascertained by the level of complexity the nurse was able to articulate. Document analysis of curriculum information as well as Nursing Council of New Zealand standards for education, competencies and scopes of practice was also performed to ascertain the importance and relevance of science to nursing practice. Nursing Council documents state that science is important for all levels of nursing practice, from patient observation, to clinical decision-making. Science knowledge assists the nurse when conducting risk analyses and when performing nursing care and assessment. A competent nurse needs to provide advocacy and education for a patient. To be effective at this, a nurse needs to be able to read, critique, understand and translate scientific information and be able to effectively communicate with other health professionals. The majority of nurses in practice felt that science knowledge was the foundation for nursing practice, and that nurses require an in-depth knowledge of science. Nurses who had passed Level 3 secondary school science were more likely to have found studying nursing science courses easy, and had a positive attitude towards using science-in-practice. Those nurses who had a positive attitude towards science were more likely to use in-depth science knowledge in their nursing practice. Nurses who practice in areas where their decision-making is independent and autonomous were more likely to use more in-depth science to inform their practice. Nurses that had a less positive attitude towards science were more likely to have experienced difficulty studying science courses as a student, and were more likely to apply shallow science in their nursing practice. The curriculum design processes within nursing schools may contribute to devaluation of science in nursing. Nursing lecturers were more likely to have a less positive attitude of science’s relevance to nursing practice than nurses in practice. Some aspects of science’s contribution to nursing were unrecognised and may explain why aspects of science-based knowledge and skills that were observed in clinical practice were not represented formally in the reviewed curricula. Nursing science curricula are often represented as discrete packages of science information, whereas in nursing practice, science is entirely integrated. As such, nursing science education needs to become integrated, but explicit within nursing, and its contribution and relevance to nursing more emphasised. Trends in healthcare indicate that the nursing workplace of the future will require nurses to engage in more independent and autonomous practice in the community. This will require nurses who can engage with scientific material, as well be able to innovate and advance nursing practice, which has implications for nursing education. This thesis identifies an appropriate science curriculum for undergraduate nursing in New Zealand and contains recommendations for its implementation