PPT-LEARNING II: INSTRUCTION, PRACTICE, TRANSFER OF TRAINING AN

Author : olivia-moreira | Published Date : 2017-05-16

Learning objectives understand the nature and role of instruction understand the nature and role of demonstration understand and classify different types of practice

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LEARNING II: INSTRUCTION, PRACTICE, TRANSFER OF TRAINING AN: Transcript


Learning objectives understand the nature and role of instruction understand the nature and role of demonstration understand and classify different types of practice understand the nature and effect of contextual interference. Fernand. Gobet. Department of Psychological Sciences. Overview of . Talk. A research agenda. The question of transfer: better data needed. Mechanisms involved should be understood. How to optimise chess instruction. Phaenalope. O. Mercado. Computer-Based . Training . . is a kind of educational technologies inspired by various . behaviourist theories. .. Computer-Aided . Instruction (CAI), Computer-Assisted Instruction (CAI), Computer-Based Instruction (CBI).. The application of previous experience to present learning. The effect on the performance of practising one skill or learning together . Transfer of learning. The effect of a previously learnt skill has a beneficial effect on another. . How proper timing of instruction can make all the difference in student learning.. The Goal. The purpose of this training is to provide participating teachers with the knowledge, skills, and resources needed to pace instruction with students in a way that leads to increased retention, internalization, and ultimately, achievement.. Transfer Learning. Dog/Cat. Classifier. cat. dog. Data . not directly related to . the task considered. elephant. tiger. Similar domain, different tasks. Different domains, same task. http://weebly110810.weebly.com/396403913129399.html. By:. . Karen Chandler, Samantha Weathers, Cathleen Hernandez, and Joseph Winslow. Anchored Instruction . Anchored instruction is a technology based learning method that encourages students and teachers to draw realistic connections by engaging in exploration and discussion. The goal of this instructional method is that students will meet learning targets while incorporating prior knowledge to make connections and solve the proposed problem. This type of learning theory requires a solution, determined in a group setting, in order to fully understand the learning target assigned. . Remembering, and Forgetting. This Chapter Presents. :. Some factors that . may. increase your capacity to learn. A look at the process of learning. A discussion of how memory works. Some explanations of why people forget. Michael . Marsiske. AIR Meeting. 11/10/2014. Rebok. Rebok. Improving outcome assessment. Kueider. & Gross. Transfer of Cognitive Training. Willis. Jaeggi. Jaeggi. Jaeggi. Belleville. Belleville. Presented by:. How Do We Learn?. Think about something you learned to do?. Why did you want to learn it?. How did you learn it?. How did you know you learned it?. Essential Questions to Guide Our Work…. Mark A. McDaniel. University of Illinois. October 11, 2017. Washington University in St. Louis. Techniques derived from learning sciences do not require dramatic adjustments to your instructional approaches. DATE. : June 10, 2013. ESSENTIAL QUESTION. : . How can the consistent use of systematic explicit instructional techniques enhance students’ learning?. HIGHER ORDER QUESTIONS:. How . will I ensure . Identify the 4 practice methods (1). Describe each of the types and methods of practice, giving an example of when . they would best be used . (8). Psychological factors affecting performance. Skill acquisition. Real-life challenges in NLP tasks. Deep learning methods are data-hungry. >50K data items needed for training. The distributions of the source and target data must be the same. Labeled data in the target domain may be limited. Chair for Computer Aided Medical Procedures & Augmented Reality. Master seminar: Deep Learning for Medical Applications. Tutor: . Shadi. . Albarqouni. , PhD. Student: Panarit Jahiri. Maithra. Raghu, .

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