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Decomposition as a Complex‐Skill Acquisition Strategy in Management Education: A Case Study in Business Forecasting
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Decomposition as a Complex‐Skill Acquisition Strategy in Management Education: A Case Study in Business Forecasting (2009)Decomposition as a Complex‐Skill Acquisit…Cognitive Skills and Their Acquisition (2013)Cognitive Skills and Their Ac…Principles of Forecasting (2001)Principles of ForecastingThe theta model: a decomposition approach to forecasting (2000)The theta model: a decomposit…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Cognitive Architecture and Instructional Design (1998)Cognitive Architecture and In…Working Memory (1992)Working MemoryError measures for generalizing about forecasting methods: Empirical comparisons (1992)Error measures for generalizi…Combining forecasts: A review and annotated bibliography (1990)Combining forecasts: A review…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review…Toward an instance theory of automatization. (1988)Toward an instance theory of …Cognitive Load During Problem Solving: Effects on Learning (1988)Cognitive Load During Problem…Cognitive Conceptions of Learning (1986)Cognitive Conceptions of Lear…The robust beauty of improper linear models in decision making. (1979)The robust beauty of improper…The Future of Operational Research is Past (1979)The Future of Operational Res…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Expert judgment: Some necessary conditions and an example. (1974)25 years of time series forecasting (2006)Chapter 4 Forecast Combinations (2006)Financial Ratios As Predictors of Failure (1966)Linear models in decision making. (1974)Judgment under Uncertainty: Heuristics and Biases (1975)A circumplex model of affect. (1980)Individual differences in reasoning: Implications for the rationality debate? (2000)Heuristic Decision Making (2010)Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. (1971)Perception in chess (1973)Toward a theory of automatic information processing in reading (1974)The magical number 4 in short-term memory: A reconsideration of mental storage capacity (2001)FREQUENCY EFFECTS IN LANGUAGE PROCESSING (2002)A definition of dyslexia (2003)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching (2006)Focus on Formative Feedback (2008)Cognitive Load Theory (2011)How We Think (1910)Toward a Theory of Situation Awareness in Dynamic Systems (1995)THE ACT OF DISCOVERY (2006)Working Memory (1974)Individual differences in working memory and reading (1980)Phonological memory deficits in language disordered children: Is there a causal connection? (1990)Multimedia Learning (2002)Cognitive Architecture and Instructional Design: 20 Years Later (2019)The Combination of Forecasts (1969)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Combination forecasts of output growth in a seven‐country data set (2004)Handbook of Economic Forecasting (2013)Stereotypes and prejudice: Their automatic and controlled components. (1989)Cognitive load theory, learning difficulty, and instructional design (1994)Learning by Expanding (2014)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

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  • 1998Cognitive Architecture and Instructional Design6,017 cited
  • 1992Working Memory5,253 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1988Toward an instance theory of automatization.3,467 cited
  • 2013Cognitive Skills and Their Acquisition2,911 cited
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  • 2000The theta model: a decomposition approach to forecasting507 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation

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